{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Joshua\Dropbox\Work\Networks and Economic Perceptions\Data and Do Files\Figure 1 Output.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 6 Jun 2018, 10:55:28
{txt}
{com}.         /*the log file is in format .smcl, but can be read via txt editor*/
. 
.         
. /***********************************************************************
> ************************************************************************
> ************************************************************************
> This do file contains the needed to replicate our Figure 1. 
> 
> For each survey, the code will load and clean the data at hand using the
> commands included in the survey cleaning .do files and then do the 
> analyses in question. For those wishing to use this to replicate the analyses, 
> you will need to update the cd command below to point to where your data
> and .do files are located. 
> 
> Also note that there are two STATA modules that need to be intalled: 
> (1) esttab and (2) grc1leg. 
> 
> ssc install estout, replace
> ssc install grc1leg, replace
> 
> ************************************************************************
> ************************************************************************
> ***********************************************************************/
.         
.         
. /****************************************
> *****************************************
>                 2000 ANES
> *****************************************
> ****************************************/       
. 
. 
. /***Loading and cleaning the data****/
. set more off
{txt}
{com}. do "Data Cleaning - 2000 ANES.do"
{txt}
{com}. **********************************************************************
. **********************************************************************
. ***********************2000 ANES Time Series**************************
. **********************************************************************
. **********************************************************************
. **********************************************************************
. 
. 
. **********************************************************************
. ****************************Data Cleaning****************************
. **********************************************************************
. **********************************************************************
. **********************************************************************
. **********************************************************************
. 
. clear
{txt}
{com}. use "anes2000TS.dta"
{txt}
{com}. set more off
{txt}
{com}. 
. 
.                 ************************************
.                 *********Economic Assessments*******
.                 ************************************
. *Deficit*
.         *Note: both a 3pt and 5pt scale are created - the former
.         *has `3' at the end, the latter has `5'
.         label def def 1 "Larger" 2 "Same" 3 "Smaller" 
{txt}
{com}.         recode V001590 (3=1) (5=2) (1=3) (0=.) (8=.), gen(deficit_post3)
{txt}(1807 differences between V001590 and deficit_post3)

{com}.         label var deficit_post3 "Deficit Change Since 1992"
{txt}
{com}.         label values deficit_post3 def
{txt}
{com}.         
.         label def def1 1 "Much Larger" 2 "Somewhat Larger" 3 "Same" 4 "Somewhat Smaller" 5 "Much Smaller"
{txt}
{com}.         gen deficit_post5 = .
{txt}(1807 missing values generated)

{com}.         replace deficit_post5 = 1  if V001590 == 3 & V001591a == 1
{txt}(31 real changes made)

{com}.         replace deficit_post5 = 2  if V001590 == 3 & V001591a == 5
{txt}(60 real changes made)

{com}.         replace deficit_post5 = 3  if V001590 == 5
{txt}(157 real changes made)

{com}.         replace deficit_post5 = 4  if V001590 == 1 & V001591 == 5
{txt}(254 real changes made)

{com}.         replace deficit_post5 = 5  if V001590 == 1 & V001591 == 1
{txt}(230 real changes made)

{com}.         label var deficit_post5 "Deficit Change Since 1992"
{txt}
{com}.         label values deficit_post5 def1
{txt}
{com}. 
.         tab deficit_post3 

    {txt}Deficit {c |}
     Change {c |}
 Since 1992 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
     Larger {c |}{res}         93       12.62       12.62
{txt}       Same {c |}{res}        157       21.30       33.92
{txt}    Smaller {c |}{res}        487       66.08      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        737      100.00
{txt}
{com}.         tab deficit_post5 

  {txt}Deficit Change {c |}
      Since 1992 {c |}      Freq.     Percent        Cum.
{hline 17}{c +}{hline 35}
     Much Larger {c |}{res}         31        4.23        4.23
{txt} Somewhat Larger {c |}{res}         60        8.20       12.43
{txt}            Same {c |}{res}        157       21.45       33.88
{txt}Somewhat Smaller {c |}{res}        254       34.70       68.58
{txt}    Much Smaller {c |}{res}        230       31.42      100.00
{txt}{hline 17}{c +}{hline 35}
           Total {c |}{res}        732      100.00
{txt}
{com}.         
.         gen def_knowl = .
{txt}(1807 missing values generated)

{com}.         replace def_knowl = 1 if deficit_post3 == 3
{txt}(487 real changes made)

{com}.         replace def_knowl = 0 if deficit_post3 >=1 & deficit_post3 <= 2
{txt}(250 real changes made)

{com}.         label var def_knowl "Deficit Knowledge"
{txt}
{com}.         label def kno 1 "Correct" 0 "Incorrect" 
{txt}
{com}.         label values def_knowl kno
{txt}
{com}.         
.         
.                 
. *National Economy: Assessment and Responsibility*
.         *Assessment
.                 label def eco 1 "Worse" 2 "Same" 3 " Better"
{txt}
{com}.                 recode V001596 (1=3) (3=1) (5=2) (0=.) (8=.), gen(econ_post3)
{txt}(1807 differences between V001596 and econ_post3)

{com}.                 label var econ_post3 "Economy Change Since 1992"
{txt}
{com}.                 label values econ_post3 eco
{txt}
{com}.                 
.                 label def eco1 1 "Much Worse" 2 "Somewhat Worse" 3 "Same" 4 "Somewhat Better" 5 "Much Better"
{txt}
{com}.                 recode V001599 (1=5) (2=4) (3=3) (4=2) (5=1) (0=.) (8=.), gen(econ_post5)
{txt}(1635 differences between V001599 and econ_post5)

{com}.                 label var econ_post5 "Economy Change Since 1992"
{txt}
{com}.                 label values econ_post5 eco1
{txt}
{com}.         
.                 tab econ_post3

    {txt}Economy {c |}
     Change {c |}
 Since 1992 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Worse {c |}{res}         40        5.16        5.16
{txt}       Same {c |}{res}        172       22.19       27.35
{txt}     Better {c |}{res}        563       72.65      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        775      100.00
{txt}
{com}.                 tab econ_post5

 {txt}Economy Change {c |}
     Since 1992 {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
     Much Worse {c |}{res}         12        1.55        1.55
{txt} Somewhat Worse {c |}{res}         28        3.62        5.17
{txt}           Same {c |}{res}        172       22.22       27.39
{txt}Somewhat Better {c |}{res}        252       32.56       59.95
{txt}    Much Better {c |}{res}        310       40.05      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}        774      100.00
{txt}
{com}. 
.         *Responsibility*
.                 label def eco2 1 "Worse" 2 "No Effect" 3 "Better"
{txt}
{com}.                 recode  V001600 (1=3) (3=1) (5=2) (8=.) (0=.), gen(econ_respon3)
{txt}(1807 differences between V001600 and econ_respon3)

{com}.                 label var econ_respon3 "Clinton Made Economy Better/Worse?"
{txt}
{com}.                 label values econ_respon3 eco2
{txt}
{com}.                 
.                 label def eco3 1 "Much Worse" 2 "Somewhat Worse" 3 "No Effect" 4 "Somewhat Better" 5 "Much Better"
{txt}
{com}.                 recode V001603 (1=5) (2=4) (3=3) (4=2) (5=1) (0=.) (8=.), gen(econ_respon5)
{txt}(1480 differences between V001603 and econ_respon5)

{com}.                 label var econ_respon5 "Clinton Made Economy Better/Worse?"
{txt}
{com}.                 label values econ_respon5 eco3
{txt}
{com}.                 
.                 tab econ_respon3 

    {txt}Clinton {c |}
       Made {c |}
    Economy {c |}
Better/Wors {c |}
         e? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Worse {c |}{res}         21        2.74        2.74
{txt}  No Effect {c |}{res}        327       42.63       45.37
{txt}     Better {c |}{res}        419       54.63      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        767      100.00
{txt}
{com}.                 tab econ_respon5

   {txt}Clinton Made {c |}
        Economy {c |}
  Better/Worse? {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
     Much Worse {c |}{res}          6        0.78        0.78
{txt} Somewhat Worse {c |}{res}         15        1.96        2.74
{txt}      No Effect {c |}{res}        327       42.63       45.37
{txt}Somewhat Better {c |}{res}        227       29.60       74.97
{txt}    Much Better {c |}{res}        192       25.03      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}        767      100.00
{txt}
{com}.                         
. *Clinton Admin Help Respondent Economically or Hurt? 
.         recode V001604(1=3) (3=1) (5=2) (8=.) (0=.), gen(econhelp_post)
{txt}(1807 differences between V001604 and econhelp_post)

{com}.         label var econhelp_post "Clinton Admin Help/Hurt R Econ. Personally"
{txt}
{com}.         label def eco4 1 "Hurt" 2 "Not Affected" 3 "Help"
{txt}
{com}.         label values econhelp_post eco4
{txt}
{com}.         
.                 
. *Crime Rate: Assessment and Responsibility*
.         *Assessment
.                 recode V001613 (1=3) (3=1) (5=2) (8=.) (0=.), gen(crime_post3)
{txt}(1807 differences between V001613 and crime_post3)

{com}.                 label var crime_post3 "Crime Rate Change Since 1992"
{txt}
{com}.                 label values crime_post3  eco 
{txt}
{com}.         
.                 recode V001616 (1=5) (2=4) (3=3) (4=2) (5=1) (0=.) (8=.), gen(crime_post5)
{txt}(1551 differences between V001616 and crime_post5)

{com}.                 label var crime_post5 "Crime Rate Change Since 1995"
{txt}
{com}.                 label values crime_post5 eco1
{txt}
{com}.         
.                 tab crime_post3 

 {txt}Crime Rate {c |}
     Change {c |}
 Since 1992 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Worse {c |}{res}        220       28.57       28.57
{txt}       Same {c |}{res}        256       33.25       61.82
{txt}     Better {c |}{res}        294       38.18      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        770      100.00
{txt}
{com}.                 tab crime_post5

     {txt}Crime Rate {c |}
   Change Since {c |}
           1995 {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
     Much Worse {c |}{res}         82       10.66       10.66
{txt} Somewhat Worse {c |}{res}        138       17.95       28.61
{txt}           Same {c |}{res}        256       33.29       61.90
{txt}Somewhat Better {c |}{res}        214       27.83       89.73
{txt}    Much Better {c |}{res}         79       10.27      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}        769      100.00
{txt}
{com}.         
.         *Responsibility*
.                 recode  V001617 (1=3) (3=1) (5=2) (8=.) (0=.) (9=.), gen(crime_respon3)
{txt}(1807 differences between V001617 and crime_respon3)

{com}.                 label var crime_respon3 "Clinton Made Crime Rate Better/Worse?"
{txt}
{com}.                 label values crime_respon3 eco2
{txt}
{com}.                 
.                 recode V001620 (1=5) (2=4) (3=3) (4=2) (5=1) (0=.) (8=.) (9=.), gen(crime_respon5)
{txt}(1299 differences between V001620 and crime_respon5)

{com}.                 label var crime_respon5 "Clinton Made Crime Rate Better/Worse?"
{txt}
{com}.                 label values crime_respon5 eco3
{txt}
{com}.                 
.                 tab crime_respon3 

    {txt}Clinton {c |}
 Made Crime {c |}
       Rate {c |}
Better/Wors {c |}
         e? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Worse {c |}{res}         65        8.52        8.52
{txt}  No Effect {c |}{res}        508       66.58       75.10
{txt}     Better {c |}{res}        190       24.90      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        763      100.00
{txt}
{com}.                 tab crime_respon5

   {txt}Clinton Made {c |}
     Crime Rate {c |}
  Better/Worse? {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
     Much Worse {c |}{res}         24        3.15        3.15
{txt} Somewhat Worse {c |}{res}         41        5.37        8.52
{txt}      No Effect {c |}{res}        508       66.58       75.10
{txt}Somewhat Better {c |}{res}        140       18.35       93.45
{txt}    Much Better {c |}{res}         50        6.55      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}        763      100.00
{txt}
{com}.                 
.         
.         pwcorr deficit_post5 econ_post5 econ_respon5 crime_post5 crime_respon5, sig 

             {txt}{c |} defici~5 econ_p~5 econ_r~5 crime~t5 crime~n5
{hline 13}{c +}{hline 45}
deficit_po~5 {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
  econ_post5 {c |} {res}  0.4030   1.0000 
             {txt}{c |}{res}   0.0000
             {txt}{c |}
econ_respon5 {c |} {res}  0.2623   0.5320   1.0000 
             {txt}{c |}{res}   0.0000   0.0000
             {txt}{c |}
 crime_post5 {c |} {res}  0.2905   0.3487   0.2807   1.0000 
             {txt}{c |}{res}   0.0000   0.0000   0.0000
             {txt}{c |}
crime_resp~5 {c |} {res}  0.2241   0.3135   0.4130   0.6262   1.0000 
             {txt}{c |}{res}   0.0000   0.0000   0.0000   0.0000
             {txt}{c |}

{com}. 
.                 ************************************
.                 *********Partisanship***************
.                 ************************************
.                 
. *Party ID: Pre-Election*
.         *Full Scale
.         label def pi1 1 "Str. Dem" 2 "Weak Dem" 3 "Lean Dem" 4 "Ind." 5 "Lean Rep" 6 "Weak Rep" 7 "Str. Rep"
{txt}
{com}.         recode  V000523 (0=1) (1=2) (2=3) (3=4) (4=5) (5=6) (6=7) (7=.) (8=.) (9=.), gen(partyid)
{txt}(1807 differences between V000523 and partyid)

{com}.         label var partyid "Party ID (Pre-Election)"
{txt}
{com}.         label values partyid pi1
{txt}
{com}.         
.         *3-Point Categorical
.         gen pid_3 = . 
{txt}(1807 missing values generated)

{com}.         replace pid_3 = 1 if partyid >=1 & partyid <= 3
{txt}(889 real changes made)

{com}.         replace pid_3 = 3 if partyid == 4
{txt}(206 real changes made)

{com}.         replace pid_3 = 2 if partyid >=5 & partyid <= 7
{txt}(681 real changes made)

{com}.         label var pid_3 "Party ID (Categorical; Pre-Election)"
{txt}
{com}.         label def pi2 1 "Democrat" 3 "Independent" 2 "Republican"
{txt}
{com}.         label values pid_3 pi2
{txt}
{com}.         
.         *Republican Vs. Democrat
.         gen pid_2 = . 
{txt}(1807 missing values generated)

{com}.         replace pid_2 = 1 if partyid >=1 & partyid <= 3
{txt}(889 real changes made)

{com}.         replace pid_2 = 0 if partyid >=5 & partyid <= 7
{txt}(681 real changes made)

{com}.         label var pid_2 "PID" 
{txt}
{com}.         label def pi3 1 "Democrat" 0 "Republican"
{txt}
{com}.         label values pid_2 pi3
{txt}
{com}.         
.         tab partyid

   {txt}Party ID {c |}
(Pre-Electi {c |}
        on) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   Str. Dem {c |}{res}        346       19.48       19.48
{txt}   Weak Dem {c |}{res}        274       15.43       34.91
{txt}   Lean Dem {c |}{res}        269       15.15       50.06
{txt}       Ind. {c |}{res}        206       11.60       61.66
{txt}   Lean Rep {c |}{res}        230       12.95       74.61
{txt}   Weak Rep {c |}{res}        215       12.11       86.71
{txt}   Str. Rep {c |}{res}        236       13.29      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,776      100.00
{txt}
{com}.         tab pid_3

   {txt}Party ID {c |}
(Categorica {c |}
         l; {c |}
Pre-Electio {c |}
         n) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   Democrat {c |}{res}        889       50.06       50.06
{txt} Republican {c |}{res}        681       38.34       88.40
{txt}Independent {c |}{res}        206       11.60      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,776      100.00
{txt}
{com}.         tab pid_2

        {txt}PID {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
 Republican {c |}{res}        681       43.38       43.38
{txt}   Democrat {c |}{res}        889       56.62      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,570      100.00
{txt}
{com}. 
.         *Party of Incumbent President
.                 *1 = Dem; 0 = Rep
.                 gen partisan = pid_2
{txt}(237 missing values generated)

{com}.                 label var partisan "Co-Partisan to Inc. President"
{txt}
{com}.                 label def part1 1 "In-Partisan" 0 "Out-Partisan"
{txt}
{com}.                 label values partisan part1
{txt}
{com}.         
.                 
. *PID Strength (Non-Independents)*
.         gen pid_str = . 
{txt}(1807 missing values generated)

{com}.         replace pid_str = 1 if partyid == 3
{txt}(269 real changes made)

{com}.         replace pid_str = 1 if partyid == 5
{txt}(230 real changes made)

{com}.         replace pid_str = 2 if partyid == 2
{txt}(274 real changes made)

{com}.         replace pid_str = 2 if partyid == 6
{txt}(215 real changes made)

{com}.         replace pid_str = 3 if partyid == 1
{txt}(346 real changes made)

{com}.         replace pid_str = 3 if partyid == 7
{txt}(236 real changes made)

{com}.         label var pid_str "PID Str."
{txt}
{com}.         label def pi4 1 "Leaner" 2 "Weak" 3 "Strong"
{txt}
{com}.         label values pid_str pi4
{txt}
{com}. 
.         tab pid_str

   {txt}PID Str. {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
     Leaner {c |}{res}        499       31.78       31.78
{txt}       Weak {c |}{res}        489       31.15       62.93
{txt}     Strong {c |}{res}        582       37.07      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,570      100.00
{txt}
{com}.         
.         summ pid_str

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 5}pid_str {c |}{res}      1570    2.052866    .8283582          1          3
{txt}
{com}.         gen pid_str01 = (pid_str - r(min))/(r(max)-r(min))
{txt}(237 missing values generated)

{com}.         label var pid_str01 "PID Str"
{txt}
{com}.         
. 
. *PID: Post Election
.         recode  V001409 (1=1) (3=2) (5=3) (7=3) (0=.) (8=.) (9=.), gen(pid_post)
{txt}(1101 differences between V001409 and pid_post)

{com}.         label var pid_post "PID (Post-Election)"
{txt}
{com}.         label def pipost 1 "Democrat" 2 "Republican" 3 "Neither/Other"
{txt}
{com}.         label values pid_post pipost
{txt}
{com}.         
.         tab pid_post

          {txt}PID {c |}
(Post-Electio {c |}
           n) {c |}      Freq.     Percent        Cum.
{hline 14}{c +}{hline 35}
     Democrat {c |}{res}        706       45.76       45.76
{txt}   Republican {c |}{res}        522       33.83       79.59
{txt}Neither/Other {c |}{res}        315       20.41      100.00
{txt}{hline 14}{c +}{hline 35}
        Total {c |}{res}      1,543      100.00
{txt}
{com}.         
.                 
. *Pre and Post
.         tab pid_3 pid_post, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

   Party ID {c |}
(Categorica {c |}
         l; {c |}
Pre-Electio {c |}       PID (Post-Election)
         n) {c |}  Democrat  Republica  Neither/O {c |}     Total
{hline 12}{c +}{hline 33}{c +}{hline 10}
   Democrat {c |}{res}       636         26         88 {txt}{c |}{res}       750 
            {txt}{c |}{res}     84.80       3.47      11.73 {txt}{c |}{res}    100.00 
            {txt}{c |}{res}     90.47       5.01      29.83 {txt}{c |}{res}     49.44 
{txt}{hline 12}{c +}{hline 33}{c +}{hline 10}
 Republican {c |}{res}        37        473         95 {txt}{c |}{res}       605 
            {txt}{c |}{res}      6.12      78.18      15.70 {txt}{c |}{res}    100.00 
            {txt}{c |}{res}      5.26      91.14      32.20 {txt}{c |}{res}     39.88 
{txt}{hline 12}{c +}{hline 33}{c +}{hline 10}
Independent {c |}{res}        30         20        112 {txt}{c |}{res}       162 
            {txt}{c |}{res}     18.52      12.35      69.14 {txt}{c |}{res}    100.00 
            {txt}{c |}{res}      4.27       3.85      37.97 {txt}{c |}{res}     10.68 
{txt}{hline 12}{c +}{hline 33}{c +}{hline 10}
      Total {c |}{res}       703        519        295 {txt}{c |}{res}     1,517 
            {txt}{c |}{res}     46.34      34.21      19.45 {txt}{c |}{res}    100.00 
            {txt}{c |}{res}    100.00     100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}4{txt}) = {res} 1.3e+03  {txt} Pr = {res}0.000
{txt}
{com}.         tab partyid pid_post, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

  Party ID {c |}
(Pre-Elect {c |}       PID (Post-Election)
      ion) {c |}  Democrat  Republica  Neither/O {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
  Str. Dem {c |}{res}       288          2          6 {txt}{c |}{res}       296 
           {txt}{c |}{res}     97.30       0.68       2.03 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     40.97       0.39       2.03 {txt}{c |}{res}     19.51 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
  Weak Dem {c |}{res}       210          6         13 {txt}{c |}{res}       229 
           {txt}{c |}{res}     91.70       2.62       5.68 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     29.87       1.16       4.41 {txt}{c |}{res}     15.10 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
  Lean Dem {c |}{res}       138         18         69 {txt}{c |}{res}       225 
           {txt}{c |}{res}     61.33       8.00      30.67 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     19.63       3.47      23.39 {txt}{c |}{res}     14.83 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
      Ind. {c |}{res}        30         20        112 {txt}{c |}{res}       162 
           {txt}{c |}{res}     18.52      12.35      69.14 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}      4.27       3.85      37.97 {txt}{c |}{res}     10.68 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
  Lean Rep {c |}{res}        22        106         75 {txt}{c |}{res}       203 
           {txt}{c |}{res}     10.84      52.22      36.95 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}      3.13      20.42      25.42 {txt}{c |}{res}     13.38 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
  Weak Rep {c |}{res}        13        163         15 {txt}{c |}{res}       191 
           {txt}{c |}{res}      6.81      85.34       7.85 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}      1.85      31.41       5.08 {txt}{c |}{res}     12.59 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
  Str. Rep {c |}{res}         2        204          5 {txt}{c |}{res}       211 
           {txt}{c |}{res}      0.95      96.68       2.37 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}      0.28      39.31       1.69 {txt}{c |}{res}     13.91 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}       703        519        295 {txt}{c |}{res}     1,517 
           {txt}{c |}{res}     46.34      34.21      19.45 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00     100.00 {txt}{c |}{res}    100.00 

{txt}         Pearson chi2({res}12{txt}) = {res} 1.5e+03  {txt} Pr = {res}0.000
{txt}
{com}.                         
.                         
. *Bivariate Relationship with Retrospective Assessments
.         tab pid_2 deficit_post3, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

           {c |}    Deficit Change Since 1992
       PID {c |}    Larger       Same    Smaller {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
Republican {c |}{res}        42         66        189 {txt}{c |}{res}       297 
           {txt}{c |}{res}     14.14      22.22      63.64 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     51.85      50.00      42.95 {txt}{c |}{res}     45.48 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
  Democrat {c |}{res}        39         66        251 {txt}{c |}{res}       356 
           {txt}{c |}{res}     10.96      18.54      70.51 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     48.15      50.00      57.05 {txt}{c |}{res}     54.52 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}        81        132        440 {txt}{c |}{res}       653 
           {txt}{c |}{res}     12.40      20.21      67.38 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}2{txt}) = {res}  3.5456  {txt} Pr = {res}0.170
{txt}
{com}.         tab pid_2 econ_post3, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

           {c |}    Economy Change Since 1992
       PID {c |}     Worse       Same     Better {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
Republican {c |}{res}        15         84        208 {txt}{c |}{res}       307 
           {txt}{c |}{res}      4.89      27.36      67.75 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     45.45      60.43      40.86 {txt}{c |}{res}     45.08 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
  Democrat {c |}{res}        18         55        301 {txt}{c |}{res}       374 
           {txt}{c |}{res}      4.81      14.71      80.48 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     54.55      39.57      59.14 {txt}{c |}{res}     54.92 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}        33        139        509 {txt}{c |}{res}       681 
           {txt}{c |}{res}      4.85      20.41      74.74 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}2{txt}) = {res} 16.8869  {txt} Pr = {res}0.000
{txt}
{com}.         tab pid_2 econ_respon3, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

           {c |}       Clinton Made Economy
           {c |}          Better/Worse?
       PID {c |}     Worse  No Effect     Better {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
Republican {c |}{res}        10        198         96 {txt}{c |}{res}       304 
           {txt}{c |}{res}      3.29      65.13      31.58 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     58.82      70.71      25.46 {txt}{c |}{res}     45.10 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
  Democrat {c |}{res}         7         82        281 {txt}{c |}{res}       370 
           {txt}{c |}{res}      1.89      22.16      75.95 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     41.18      29.29      74.54 {txt}{c |}{res}     54.90 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}        17        280        377 {txt}{c |}{res}       674 
           {txt}{c |}{res}      2.52      41.54      55.93 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}2{txt}) = {res}134.1929  {txt} Pr = {res}0.000
{txt}
{com}.         tab pid_2 crime_post3, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

           {c |}   Crime Rate Change Since 1992
       PID {c |}     Worse       Same     Better {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
Republican {c |}{res}        94        117         93 {txt}{c |}{res}       304 
           {txt}{c |}{res}     30.92      38.49      30.59 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     50.54      52.94      34.83 {txt}{c |}{res}     45.10 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
  Democrat {c |}{res}        92        104        174 {txt}{c |}{res}       370 
           {txt}{c |}{res}     24.86      28.11      47.03 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     49.46      47.06      65.17 {txt}{c |}{res}     54.90 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}       186        221        267 {txt}{c |}{res}       674 
           {txt}{c |}{res}     27.60      32.79      39.61 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}2{txt}) = {res} 19.0793  {txt} Pr = {res}0.000
{txt}
{com}.         tab pid_2 crime_respon3, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

           {c |}     Clinton Made Crime Rate
           {c |}          Better/Worse?
       PID {c |}     Worse  No Effect     Better {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
Republican {c |}{res}        39        227         35 {txt}{c |}{res}       301 
           {txt}{c |}{res}     12.96      75.42      11.63 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     68.42      51.36      20.59 {txt}{c |}{res}     44.99 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
  Democrat {c |}{res}        18        215        135 {txt}{c |}{res}       368 
           {txt}{c |}{res}      4.89      58.42      36.68 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     31.58      48.64      79.41 {txt}{c |}{res}     55.01 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}        57        442        170 {txt}{c |}{res}       669 
           {txt}{c |}{res}      8.52      66.07      25.41 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}2{txt}) = {res} 60.7858  {txt} Pr = {res}0.000
{txt}
{com}. 
.         tab pid_2 deficit_post5, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

           {c |}               Deficit Change Since 1992
       PID {c |} Much Larg  Somewhat        Same  Somewhat   Much Smal {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
Republican {c |}{res}        11         29         66        112         75 {txt}{c |}{res}       293 
           {txt}{c |}{res}      3.75       9.90      22.53      38.23      25.60 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     40.74      55.77      50.00      49.34      35.71 {txt}{c |}{res}     45.22 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
  Democrat {c |}{res}        16         23         66        115        135 {txt}{c |}{res}       355 
           {txt}{c |}{res}      4.51       6.48      18.59      32.39      38.03 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     59.26      44.23      50.00      50.66      64.29 {txt}{c |}{res}     54.78 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}        27         52        132        227        210 {txt}{c |}{res}       648 
           {txt}{c |}{res}      4.17       8.02      20.37      35.03      32.41 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00     100.00     100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}4{txt}) = {res} 12.9875  {txt} Pr = {res}0.011
{txt}
{com}.         tab pid_2 econ_post5, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

           {c |}               Economy Change Since 1992
       PID {c |} Much Wors  Somewhat        Same  Somewhat   Much Bett {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
Republican {c |}{res}         2         13         84        123         84 {txt}{c |}{res}       306 
           {txt}{c |}{res}      0.65       4.25      27.45      40.20      27.45 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     20.00      56.52      60.43      54.19      29.89 {txt}{c |}{res}     45.00 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
  Democrat {c |}{res}         8         10         55        104        197 {txt}{c |}{res}       374 
           {txt}{c |}{res}      2.14       2.67      14.71      27.81      52.67 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     80.00      43.48      39.57      45.81      70.11 {txt}{c |}{res}     55.00 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}        10         23        139        227        281 {txt}{c |}{res}       680 
           {txt}{c |}{res}      1.47       3.38      20.44      33.38      41.32 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00     100.00     100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}4{txt}) = {res} 50.7811  {txt} Pr = {res}0.000
{txt}
{com}.         tab pid_2 econ_respon5, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

           {c |}           Clinton Made Economy Better/Worse?
       PID {c |} Much Wors  Somewhat   No Effect  Somewhat   Much Bett {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
Republican {c |}{res}         3          7        198         70         26 {txt}{c |}{res}       304 
           {txt}{c |}{res}      0.99       2.30      65.13      23.03       8.55 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     60.00      58.33      70.71      34.48      14.94 {txt}{c |}{res}     45.10 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
  Democrat {c |}{res}         2          5         82        133        148 {txt}{c |}{res}       370 
           {txt}{c |}{res}      0.54       1.35      22.16      35.95      40.00 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     40.00      41.67      29.29      65.52      85.06 {txt}{c |}{res}     54.90 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}         5         12        280        203        174 {txt}{c |}{res}       674 
           {txt}{c |}{res}      0.74       1.78      41.54      30.12      25.82 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00     100.00     100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}4{txt}) = {res}148.6449  {txt} Pr = {res}0.000
{txt}
{com}.         tab pid_2 crime_post5, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

           {c |}              Crime Rate Change Since 1995
       PID {c |} Much Wors  Somewhat        Same  Somewhat   Much Bett {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
Republican {c |}{res}        33         61        117         73         20 {txt}{c |}{res}       304 
           {txt}{c |}{res}     10.86      20.07      38.49      24.01       6.58 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     48.53      51.69      52.94      37.82      27.40 {txt}{c |}{res}     45.17 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
  Democrat {c |}{res}        35         57        104        120         53 {txt}{c |}{res}       369 
           {txt}{c |}{res}      9.49      15.45      28.18      32.52      14.36 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     51.47      48.31      47.06      62.18      72.60 {txt}{c |}{res}     54.83 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}        68        118        221        193         73 {txt}{c |}{res}       673 
           {txt}{c |}{res}     10.10      17.53      32.84      28.68      10.85 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00     100.00     100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}4{txt}) = {res} 21.2428  {txt} Pr = {res}0.000
{txt}
{com}.         tab pid_2 crime_respon5, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

           {c |}         Clinton Made Crime Rate Better/Worse?
       PID {c |} Much Wors  Somewhat   No Effect  Somewhat   Much Bett {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
Republican {c |}{res}        13         26        227         27          8 {txt}{c |}{res}       301 
           {txt}{c |}{res}      4.32       8.64      75.42       8.97       2.66 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     68.42      68.42      51.36      21.77      17.39 {txt}{c |}{res}     44.99 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
  Democrat {c |}{res}         6         12        215         97         38 {txt}{c |}{res}       368 
           {txt}{c |}{res}      1.63       3.26      58.42      26.36      10.33 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     31.58      31.58      48.64      78.23      82.61 {txt}{c |}{res}     55.01 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}        19         38        442        124         46 {txt}{c |}{res}       669 
           {txt}{c |}{res}      2.84       5.68      66.07      18.54       6.88 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00     100.00     100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}4{txt}) = {res} 61.0463  {txt} Pr = {res}0.000
{txt}
{com}. 
.         
.                 
.                 *****************************************************
.                 *********Network Size and Disagreement***************
.                 *****************************************************
. 
. *Network Size (# Listed Discussants)
.         gen names = . 
{txt}(1807 missing values generated)

{com}.         replace names = 4 if V001702 == 1 & V001701 == 1 & V001700 == 1 & V001699 == 1
{txt}(327 real changes made)

{com}.         replace names = 3 if V001702 == 5 & V001701 == 1 & V001700 == 1 & V001699 == 1
{txt}(223 real changes made)

{com}.         replace names = 2 if V001701 == 5 & V001700 == 1 & V001699 == 1
{txt}(311 real changes made)

{com}.         replace names = 1 if V001700 == 5 & V001699 == 1
{txt}(290 real changes made)

{com}.         replace names = 0 if V001699 == 5
{txt}(399 real changes made)

{com}.         label var names "# Listed Disc."
{txt}
{com}. 
.         gen names1 = . 
{txt}(1807 missing values generated)

{com}.         replace names1 = names
{txt}(1550 real changes made)

{com}.         replace names1 = . if names1 == 0
{txt}(399 real changes made, 399 to missing)

{com}.         label var names1 "Network Size"
{txt}
{com}. 
.         tab names 

   {txt}# Listed {c |}
      Disc. {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        399       25.74       25.74
{txt}          1 {c |}{res}        290       18.71       44.45
{txt}          2 {c |}{res}        311       20.06       64.52
{txt}          3 {c |}{res}        223       14.39       78.90
{txt}          4 {c |}{res}        327       21.10      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,550      100.00
{txt}
{com}.         tab names1

    {txt}Network {c |}
       Size {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        290       25.20       25.20
{txt}          2 {c |}{res}        311       27.02       52.22
{txt}          3 {c |}{res}        223       19.37       71.59
{txt}          4 {c |}{res}        327       28.41      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,151      100.00
{txt}
{com}.         
.         summ names1 

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 6}names1 {c |}{res}      1151    2.509991    1.150287          1          4
{txt}
{com}.         gen numgiven01 = (names1 - r(min))/(r(max)-r(min))
{txt}(656 missing values generated)

{com}.         label var numgiven01 "Network Size"
{txt}
{com}.         
.         
.         
. 
. *Candidate Disagreement
.         *Discussant Vote Choice
.                 foreach var in V001710 V001718 V001726 V001734 {c -(}
{txt}  2{com}.                         tab `var'
{txt}  3{com}.                 {c )-}

{txt}Z12. How name 1 voted in election {c |}      Freq.     Percent        Cum.
{hline 34}{c +}{hline 35}
   00. NA. INAP, 5, 8, 9, 0 in Z1 {c |}{res}        655       36.25       36.25
{txt}                       1. AL GORE {c |}{res}        442       24.46       60.71
{txt}                 3. GEORGE W BUSH {c |}{res}        479       26.51       87.22
{txt}5. SOME OTHER CANDIDATE (SPECIFY) {c |}{res}         46        2.55       89.76
{txt}                   7. DIDN'T VOTE {c |}{res}        103        5.70       95.46
{txt}      8. INELIGIBLE TO VOTE [VOL] {c |}{res}         16        0.89       96.35
{txt}             98. DK - DON'T PROBE {c |}{res}         62        3.43       99.78
{txt}             99. RF - DON'T PROBE {c |}{res}          4        0.22      100.00
{txt}{hline 34}{c +}{hline 35}
                            Total {c |}{res}      1,807      100.00

{txt}Z16. How name 2 voted in election {c |}      Freq.     Percent        Cum.
{hline 34}{c +}{hline 35}
   00. NA. INAP, 5, 8, 9, 0 in Z3 {c |}{res}        946       52.35       52.35
{txt}                       1. AL GORE {c |}{res}        336       18.59       70.95
{txt}                 3. GEORGE W BUSH {c |}{res}        342       18.93       89.87
{txt}5. SOME OTHER CANDIDATE [SPECIFY] {c |}{res}         30        1.66       91.53
{txt}                   7. DIDN'T VOTE {c |}{res}         75        4.15       95.68
{txt}      8. INELIGIBLE TO VOTE [VOL] {c |}{res}         10        0.55       96.24
{txt}             98. DK - DON'T PROBE {c |}{res}         66        3.65       99.89
{txt}             99. RF - DON'T PROBE {c |}{res}          2        0.11      100.00
{txt}{hline 34}{c +}{hline 35}
                            Total {c |}{res}      1,807      100.00

      {txt}Z20. How name 3 voted in election {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
         00. NA. INAP, 5, 8, 9, 0 in Z1 {c |}{res}      1,257       69.56       69.56
{txt}                             1. AL GORE {c |}{res}        201       11.12       80.69
{txt}                       3. GEORGE W BUSH {c |}{res}        230       12.73       93.41
{txt}5. SOME OTHER CANDIDATE (SPECIFY) [SPEC {c |}{res}         12        0.66       94.08
{txt}                         7. DIDN'T VOTE {c |}{res}         43        2.38       96.46
{txt}            8. INELIGIBLE TO VOTE [VOL] {c |}{res}          9        0.50       96.96
{txt}                   98. DK - DON'T PROBE {c |}{res}         55        3.04      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}      1,807      100.00

{txt}Z24. How name 4 voted in election {c |}      Freq.     Percent        Cum.
{hline 34}{c +}{hline 35}
   00. NA. INAP, 5, 8, 9, 0 in Z1 {c |}{res}      1,480       81.90       81.90
{txt}                       1. AL GORE {c |}{res}        105        5.81       87.71
{txt}                 3. GEORGE W BUSH {c |}{res}        147        8.14       95.85
{txt}5. SOME OTHER CANDIDATE (SPECIFY) {c |}{res}          6        0.33       96.18
{txt}                   7. DIDN'T VOTE {c |}{res}         26        1.44       97.62
{txt}      8. INELIGIBLE TO VOTE [VOL] {c |}{res}          6        0.33       97.95
{txt}             98. DK - DON'T PROBE {c |}{res}         36        1.99       99.94
{txt}             99. RF - DON'T PROBE {c |}{res}          1        0.06      100.00
{txt}{hline 34}{c +}{hline 35}
                            Total {c |}{res}      1,807      100.00
{txt}
{com}.                 *1 = Al Gore
.                 *3 = George Bush
.                 *5 = Some Other Candidate
.                 *7 = Didn't vote
.                 *8 = ineliglb to vote
.                 *98 = dk
.                 *99 = ref
. 
.         *Respondent vote choice*
.                         tab V001249

          {txt}C6. R vote cast for President {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
          0. NA. INAP, 5, 8, 9, 0 in C5 {c |}{res}        629       34.81       34.81
{txt}                            1. AL GORE  {c |}{res}        590       32.65       67.46
{txt}2. HOWARD PHILLIPS-CONSTITUTION PARTY C {c |}{res}          1        0.06       67.52
{txt}                      3. GEORGE W. BUSH {c |}{res}        530       29.33       96.85
{txt}   4. HARRY BROWN-LIBERTARIAN CANDIDATE {c |}{res}          4        0.22       97.07
{txt}                       5. PAT BUCHANAN  {c |}{res}          3        0.17       97.23
{txt}                         6. RALPH NADER {c |}{res}         33        1.83       99.06
{txt}           7. R REPORTS VOTING FOR SELF {c |}{res}          1        0.06       99.11
{txt}                                 8. DK  {c |}{res}          3        0.17       99.28
{txt}                                 9. RF  {c |}{res}         13        0.72      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}      1,807      100.00
{txt}
{com}.                         *1 = Gore
.                         *2 = howard philips (n = 1)
.                         *3 = Bush
.                         *4 = Libertarian (n=4)
.                         *5 = Pat Buchanan (n =3)
.                         *6 = Nader (n=33)
.                         *7 = reports voting for self
.                         *0 = NA/INAP
.         
.         
. *Disagreement
.         *need to create indices for 'agreement' and 'disagreement'
.         *agreement: gore/gore, bush/bush; 
.         *disagree: gore/bush, bush/gore, nader/gore, nader/bush, gore/other, bush/other, remainder 3rd party/bush or gore
.                 
.         *Agree = 1, Disagree = 0
.                 label def agr 1 "Agree" 0 "Disagree" 
{txt}
{com}.                 gen d1_votea = . 
{txt}(1807 missing values generated)

{com}.                 replace d1_votea = 1 if V001249 == 1 & V001710 == 1
{txt}(301 real changes made)

{com}.                 replace d1_votea = 1 if V001249 == 3 & V001710 == 3
{txt}(307 real changes made)

{com}.                 replace d1_votea = 0  if V001249 == 1 & V001710 == 3
{txt}(92 real changes made)

{com}.                 replace d1_votea = 0  if V001249 == 3 & V001710 == 1
{txt}(77 real changes made)

{com}.                 replace d1_votea = 0  if V001249 == 1 & V001710 == 5
{txt}(11 real changes made)

{com}.                 replace d1_votea = 0  if V001249 == 3 & V001710 == 5
{txt}(9 real changes made)

{com}.                 replace d1_votea = 0  if V001249 == 2 & V001710 == 1
{txt}(0 real changes made)

{com}.                 replace d1_votea = 0  if V001249 == 2 & V001710 == 3
{txt}(1 real change made)

{com}.                 replace d1_votea = 0  if V001249 == 4 & V001710 == 1
{txt}(2 real changes made)

{com}.                 replace d1_votea = 0  if V001249 == 4 & V001710 == 3
{txt}(1 real change made)

{com}.                 replace d1_votea = 0  if V001249 == 5 & V001710 == 1
{txt}(0 real changes made)

{com}.                 replace d1_votea = 0  if V001249 == 5 & V001710 == 3
{txt}(0 real changes made)

{com}.                 replace d1_votea = 0  if V001249 == 6 & V001710 == 1
{txt}(10 real changes made)

{com}.                 replace d1_votea = 0  if V001249 == 6 & V001710 == 3
{txt}(11 real changes made)

{com}.                 label var d1_votea "D1 Vote Agreement"
{txt}
{com}.                 label values d1_votea agr
{txt}
{com}.                 
.                 
.                 gen d2_votea = . 
{txt}(1807 missing values generated)

{com}.                 replace d2_votea = 1 if V001249 == 1 & V001718 == 1
{txt}(226 real changes made)

{com}.                 replace d2_votea = 1 if V001249 == 3 & V001718 == 3
{txt}(221 real changes made)

{com}.                 replace d2_votea = 0  if V001249 == 1 & V001718 == 3
{txt}(73 real changes made)

{com}.                 replace d2_votea = 0  if V001249 == 3 & V001718 == 1
{txt}(62 real changes made)

{com}.                 replace d2_votea = 0  if V001249 == 1 & V001718 == 5
{txt}(10 real changes made)

{com}.                 replace d2_votea = 0  if V001249 == 3 & V001718 == 5
{txt}(8 real changes made)

{com}.                 replace d2_votea = 0  if V001249 == 2 & V001718 == 1
{txt}(0 real changes made)

{com}.                 replace d2_votea = 0  if V001249 == 2 & V001718 == 3
{txt}(0 real changes made)

{com}.                 replace d2_votea = 0  if V001249 == 4 & V001718 == 1
{txt}(2 real changes made)

{com}.                 replace d2_votea = 0  if V001249 == 4 & V001718 == 3
{txt}(0 real changes made)

{com}.                 replace d2_votea = 0  if V001249 == 5 & V001718 == 1
{txt}(1 real change made)

{com}.                 replace d2_votea = 0  if V001249 == 5 & V001718 == 3
{txt}(0 real changes made)

{com}.                 replace d2_votea = 0  if V001249 == 6 & V001718 == 1
{txt}(10 real changes made)

{com}.                 replace d2_votea = 0  if V001249 == 6 & V001718 == 3
{txt}(5 real changes made)

{com}.                 label var d2_votea "D2 Vote Agreement"
{txt}
{com}.                 label values d2_votea agr
{txt}
{com}.                 
.                                 
.                 gen d3_votea = . 
{txt}(1807 missing values generated)

{com}.                 replace d3_votea = 1 if V001249 == 1 & V001726 == 1
{txt}(137 real changes made)

{com}.                 replace d3_votea = 1 if V001249 == 3 & V001726 == 3
{txt}(149 real changes made)

{com}.                 replace d3_votea = 0  if V001249 == 1 & V001726 == 3
{txt}(53 real changes made)

{com}.                 replace d3_votea = 0  if V001249 == 3 & V001726 == 1
{txt}(43 real changes made)

{com}.                 replace d3_votea = 0  if V001249 == 1 & V001726 == 5
{txt}(3 real changes made)

{com}.                 replace d3_votea = 0  if V001249 == 3 & V001726 == 5
{txt}(4 real changes made)

{com}.                 replace d3_votea = 0  if V001249 == 2 & V001726 == 1
{txt}(0 real changes made)

{com}.                 replace d3_votea = 0  if V001249 == 2 & V001726 == 3
{txt}(1 real change made)

{com}.                 replace d3_votea = 0  if V001249 == 4 & V001726 == 1
{txt}(1 real change made)

{com}.                 replace d3_votea = 0  if V001249 == 4 & V001726 == 3
{txt}(1 real change made)

{com}.                 replace d3_votea = 0  if V001249 == 5 & V001726 == 1
{txt}(0 real changes made)

{com}.                 replace d3_votea = 0  if V001249 == 5 & V001726 == 3
{txt}(0 real changes made)

{com}.                 replace d3_votea = 0  if V001249 == 6 & V001726 == 1
{txt}(4 real changes made)

{com}.                 replace d3_votea = 0  if V001249 == 6 & V001726 == 3
{txt}(4 real changes made)

{com}.                 label var d3_votea "D4 Vote Agreement"
{txt}
{com}.                 label values d3_votea agr
{txt}
{com}. 
. 
.                 gen d4_votea = . 
{txt}(1807 missing values generated)

{com}.                 replace d4_votea = 1 if V001249 == 1 & V001734 == 1
{txt}(70 real changes made)

{com}.                 replace d4_votea = 1 if V001249 == 3 & V001734 == 3
{txt}(93 real changes made)

{com}.                 replace d4_votea = 0  if V001249 == 1 & V001734 == 3
{txt}(41 real changes made)

{com}.                 replace d4_votea = 0  if V001249 == 3 & V001734 == 1
{txt}(24 real changes made)

{com}.                 replace d4_votea = 0  if V001249 == 1 & V001734 == 5
{txt}(1 real change made)

{com}.                 replace d4_votea = 0  if V001249 == 3 & V001734 == 5
{txt}(2 real changes made)

{com}.                 replace d4_votea = 0  if V001249 == 2 & V001734 == 1
{txt}(0 real changes made)

{com}.                 replace d4_votea = 0  if V001249 == 2 & V001734 == 3
{txt}(0 real changes made)

{com}.                 replace d4_votea = 0  if V001249 == 4 & V001734 == 1
{txt}(0 real changes made)

{com}.                 replace d4_votea = 0  if V001249 == 4 & V001734 == 3
{txt}(0 real changes made)

{com}.                 replace d4_votea = 0  if V001249 == 5 & V001734 == 1
{txt}(0 real changes made)

{com}.                 replace d4_votea = 0  if V001249 == 5 & V001734 == 3
{txt}(0 real changes made)

{com}.                 replace d4_votea = 0  if V001249 == 6 & V001734 == 1
{txt}(2 real changes made)

{com}.                 replace d4_votea = 0  if V001249 == 6 & V001734 == 3
{txt}(0 real changes made)

{com}.                 label var d4_votea "D4 Vote Agreement"
{txt}
{com}.                 label values d4_votea agr
{txt}
{com}.         
.                 tab d1_votea 

    {txt}D1 Vote {c |}
  Agreement {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   Disagree {c |}{res}        214       26.03       26.03
{txt}      Agree {c |}{res}        608       73.97      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        822      100.00
{txt}
{com}.                 tab d2_votea 

    {txt}D2 Vote {c |}
  Agreement {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   Disagree {c |}{res}        171       27.67       27.67
{txt}      Agree {c |}{res}        447       72.33      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        618      100.00
{txt}
{com}.                 tab d3_votea

    {txt}D4 Vote {c |}
  Agreement {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   Disagree {c |}{res}        114       28.50       28.50
{txt}      Agree {c |}{res}        286       71.50      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        400      100.00
{txt}
{com}.                 tab d4_votea

    {txt}D4 Vote {c |}
  Agreement {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   Disagree {c |}{res}         70       30.04       30.04
{txt}      Agree {c |}{res}        163       69.96      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        233      100.00
{txt}
{com}.         
.         *Disagreement (=1; agree =0)
.                 label def disagr 1 "Disagree" 0 "Agree"
{txt}
{com}.                                         
.                 gen d1_voted = . 
{txt}(1807 missing values generated)

{com}.                 replace d1_voted = 0 if V001249 == 1 & V001710 == 1
{txt}(301 real changes made)

{com}.                 replace d1_voted = 0 if V001249 == 3 & V001710 == 3
{txt}(307 real changes made)

{com}.                 replace d1_voted = 1  if V001249 == 1 & V001710 == 3
{txt}(92 real changes made)

{com}.                 replace d1_voted = 1  if V001249 == 3 & V001710 == 1
{txt}(77 real changes made)

{com}.                 replace d1_voted = 1  if V001249 == 1 & V001710 == 5
{txt}(11 real changes made)

{com}.                 replace d1_voted = 1  if V001249 == 3 & V001710 == 5
{txt}(9 real changes made)

{com}.                 replace d1_voted = 1  if V001249 == 2 & V001710 == 1
{txt}(0 real changes made)

{com}.                 replace d1_voted = 1  if V001249 == 2 & V001710 == 3
{txt}(1 real change made)

{com}.                 replace d1_voted = 1  if V001249 == 4 & V001710 == 1
{txt}(2 real changes made)

{com}.                 replace d1_voted = 1  if V001249 == 4 & V001710 == 3
{txt}(1 real change made)

{com}.                 replace d1_voted = 1  if V001249 == 5 & V001710 == 1
{txt}(0 real changes made)

{com}.                 replace d1_voted = 1  if V001249 == 5 & V001710 == 3
{txt}(0 real changes made)

{com}.                 replace d1_voted = 1  if V001249 == 6 & V001710 == 1
{txt}(10 real changes made)

{com}.                 replace d1_voted = 1  if V001249 == 6 & V001710 == 3
{txt}(11 real changes made)

{com}.                 label var d1_voted "D1 Vote Disagreement"
{txt}
{com}.                 label values d1_voted disagr
{txt}
{com}.                 
.                 gen d2_voted = . 
{txt}(1807 missing values generated)

{com}.                 replace d2_voted = 0 if V001249 == 1 & V001718 == 1
{txt}(226 real changes made)

{com}.                 replace d2_voted = 0 if V001249 == 3 & V001718 == 3
{txt}(221 real changes made)

{com}.                 replace d2_voted = 1  if V001249 == 1 & V001718 == 3
{txt}(73 real changes made)

{com}.                 replace d2_voted = 1  if V001249 == 3 & V001718 == 1
{txt}(62 real changes made)

{com}.                 replace d2_voted = 1  if V001249 == 1 & V001718 == 5
{txt}(10 real changes made)

{com}.                 replace d2_voted = 1  if V001249 == 3 & V001718 == 5
{txt}(8 real changes made)

{com}.                 replace d2_voted = 1  if V001249 == 2 & V001718 == 1
{txt}(0 real changes made)

{com}.                 replace d2_voted = 1  if V001249 == 2 & V001718 == 3
{txt}(0 real changes made)

{com}.                 replace d2_voted = 1  if V001249 == 4 & V001718 == 1
{txt}(2 real changes made)

{com}.                 replace d2_voted = 1  if V001249 == 4 & V001718 == 3
{txt}(0 real changes made)

{com}.                 replace d2_voted = 1  if V001249 == 5 & V001718 == 1
{txt}(1 real change made)

{com}.                 replace d2_voted = 1  if V001249 == 5 & V001718 == 3
{txt}(0 real changes made)

{com}.                 replace d2_voted = 1  if V001249 == 6 & V001718 == 1
{txt}(10 real changes made)

{com}.                 replace d2_voted = 1  if V001249 == 6 & V001718 == 3
{txt}(5 real changes made)

{com}.                 label var d2_voted "D2 Vote Disagreement"
{txt}
{com}.                 label values d2_voted disagr
{txt}
{com}.                 
.                 gen d3_voted = . 
{txt}(1807 missing values generated)

{com}.                 replace d3_voted = 0 if V001249 == 1 & V001726 == 1
{txt}(137 real changes made)

{com}.                 replace d3_voted = 0 if V001249 == 3 & V001726 == 3
{txt}(149 real changes made)

{com}.                 replace d3_voted = 1  if V001249 == 1 & V001726 == 3
{txt}(53 real changes made)

{com}.                 replace d3_voted = 1  if V001249 == 3 & V001726 == 1
{txt}(43 real changes made)

{com}.                 replace d3_voted = 1  if V001249 == 1 & V001726 == 5
{txt}(3 real changes made)

{com}.                 replace d3_voted = 1  if V001249 == 3 & V001726 == 5
{txt}(4 real changes made)

{com}.                 replace d3_voted = 1  if V001249 == 2 & V001726 == 1
{txt}(0 real changes made)

{com}.                 replace d3_voted = 1  if V001249 == 2 & V001726 == 3
{txt}(1 real change made)

{com}.                 replace d3_voted = 1  if V001249 == 4 & V001726 == 1
{txt}(1 real change made)

{com}.                 replace d3_voted = 1  if V001249 == 4 & V001726 == 3
{txt}(1 real change made)

{com}.                 replace d3_voted = 1  if V001249 == 5 & V001726 == 1
{txt}(0 real changes made)

{com}.                 replace d3_voted = 1  if V001249 == 5 & V001726 == 3
{txt}(0 real changes made)

{com}.                 replace d3_voted = 1  if V001249 == 6 & V001726 == 1
{txt}(4 real changes made)

{com}.                 replace d3_voted = 1  if V001249 == 6 & V001726 == 3
{txt}(4 real changes made)

{com}.                 label var d3_voted "D3 Vote Disagreement"
{txt}
{com}.                 label values d3_voted disagr
{txt}
{com}.                 
.                 gen d4_voted = . 
{txt}(1807 missing values generated)

{com}.                 replace d4_voted = 0 if V001249 == 1 & V001734 == 1
{txt}(70 real changes made)

{com}.                 replace d4_voted = 0 if V001249 == 3 & V001734 == 3
{txt}(93 real changes made)

{com}.                 replace d4_voted = 1  if V001249 == 1 & V001734 == 3
{txt}(41 real changes made)

{com}.                 replace d4_voted = 1  if V001249 == 3 & V001734 == 1
{txt}(24 real changes made)

{com}.                 replace d4_voted = 1  if V001249 == 1 & V001734 == 5
{txt}(1 real change made)

{com}.                 replace d4_voted = 1  if V001249 == 3 & V001734 == 5
{txt}(2 real changes made)

{com}.                 replace d4_voted = 1  if V001249 == 2 & V001734 == 1
{txt}(0 real changes made)

{com}.                 replace d4_voted = 1  if V001249 == 2 & V001734 == 3
{txt}(0 real changes made)

{com}.                 replace d4_voted = 1  if V001249 == 4 & V001734 == 1
{txt}(0 real changes made)

{com}.                 replace d4_voted = 1  if V001249 == 4 & V001734 == 3
{txt}(0 real changes made)

{com}.                 replace d4_voted = 1  if V001249 == 5 & V001734 == 1
{txt}(0 real changes made)

{com}.                 replace d4_voted = 1  if V001249 == 5 & V001734 == 3
{txt}(0 real changes made)

{com}.                 replace d4_voted = 1  if V001249 == 6 & V001734 == 1
{txt}(2 real changes made)

{com}.                 replace d4_voted = 1  if V001249 == 6 & V001734 == 3
{txt}(0 real changes made)

{com}.                 label var d4_voted "D4 Vote Disagreement"
{txt}
{com}.                 label values d4_voted disagr
{txt}
{com}.                 
.                 tab d1_voted

    {txt}D1 Vote {c |}
Disagreemen {c |}
          t {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Agree {c |}{res}        608       73.97       73.97
{txt}   Disagree {c |}{res}        214       26.03      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        822      100.00
{txt}
{com}.                 tab d2_voted 

    {txt}D2 Vote {c |}
Disagreemen {c |}
          t {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Agree {c |}{res}        447       72.33       72.33
{txt}   Disagree {c |}{res}        171       27.67      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        618      100.00
{txt}
{com}.                 tab d3_voted

    {txt}D3 Vote {c |}
Disagreemen {c |}
          t {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Agree {c |}{res}        286       71.50       71.50
{txt}   Disagree {c |}{res}        114       28.50      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        400      100.00
{txt}
{com}.                 tab d4_voted

    {txt}D4 Vote {c |}
Disagreemen {c |}
          t {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Agree {c |}{res}        163       69.96       69.96
{txt}   Disagree {c |}{res}         70       30.04      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        233      100.00
{txt}
{com}.                 
.         
. *Exposure to Disagreement
.         *Agreement*
.                 egen cand_agree = rowtotal(d1_votea d2_votea d3_votea d4_votea), missing
{txt}(917 missing values generated)

{com}.         *Disagreeement                          
.                 egen cand_disagree = rowtotal(d1_voted d2_voted d3_voted d4_voted), missing
{txt}(917 missing values generated)

{com}.                 
.                 tab cand_agree

 {txt}cand_agree {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        117       13.15       13.15
{txt}          1 {c |}{res}        297       33.37       46.52
{txt}          2 {c |}{res}        286       32.13       78.65
{txt}          3 {c |}{res}        125       14.04       92.70
{txt}          4 {c |}{res}         65        7.30      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        890      100.00
{txt}
{com}.                 tab cand_disagree

{txt}cand_disagr {c |}
         ee {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        496       55.73       55.73
{txt}          1 {c |}{res}        259       29.10       84.83
{txt}          2 {c |}{res}         99       11.12       95.96
{txt}          3 {c |}{res}         32        3.60       99.55
{txt}          4 {c |}{res}          4        0.45      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        890      100.00
{txt}
{com}.                 summ cand_agree cand_disagree

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 2}cand_agree {c |}{res}       890    1.689888    1.094217          0          4
{txt}cand_disag~e {c |}{res}       890    .6393258    .8506093          0          4
{txt}
{com}.                 
.         *Difference*
.                 *Summary Scale
.                         *See Lupton and Thornton: Exposure = D - A
.                                 gen disagree_total = cand_disagree - cand_agree
{txt}(917 missing values generated)

{com}.                                 label var disagree_total "Network Disagreement"
{txt}
{com}.                 *Corrected for # D & A
.                         *See Lupton & Thornton: (D-A)/(D+A)
.                                 gen disagree_avg = [cand_disagree - cand_agree] / [cand_disagree + cand_agree]
{txt}(917 missing values generated)

{com}.                                 label var disagree_avg "Network Disagreement"
{txt}
{com}.         
.                 *Standardized*
.                         foreach var in disagree_total disagree_avg {c -(}
{txt}  2{com}.                                 summ `var'
{txt}  3{com}.                                 gen `var'01 = (`var' - r(min))/(r(max)-r(min))
{txt}  4{com}.                         {c )-}

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
disagree_t~l {c |}{res}       890   -1.050562    1.631635         -4          4
{txt}(917 missing values generated)

    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
disagree_avg {c |}{res}       890    -.452809    .7176042         -1          1
{txt}(917 missing values generated)

{com}.                         
.                         label var disagree_total01 "Network Disagreement"
{txt}
{com}.                         label var disagree_avg01 "Network Disagreement"
{txt}
{com}.                                 
. 
. *Network Diversity
.         *From Nir: [(Agree+Disagree)/2] - |A-D|
.                 gen network_ambiv = [(cand_agree + cand_disagree)/2] - abs(cand_agree - cand_disagree)
{txt}(917 missing values generated)

{com}.                 label var network_ambiv "Network Political Diversity"
{txt}
{com}.                 
.                 summ network_ambiv

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
network_am~v {c |}{res}       890   -.4477528    .9678874         -2          2
{txt}
{com}.                 gen network_ambiv01=(network_ambiv - r(min))/(r(max)-r(min))
{txt}(917 missing values generated)

{com}.                 label var network_ambiv01 "Network Political Diversity"
{txt}
{com}. 
.                         
. 
.                 ***************************************************
.                 *****************Control Variables*****************
.                 ***************************************************
.                 
.         
. *Education
.         recode V000913 (1=1) (2=1) (3=2) (4=3) (5=3) (6=4) (7=4) (9=.), gen(educ)
{txt}(1743 differences between V000913 and educ)

{com}.         tab V000913 educ

                      {txt}{c |}   RECODE of V000913 (Y3x. R educ summary)
  Y3x. R educ summary {c |}         1          2          3          4 {c |}     Total
{hline 22}{c +}{hline 44}{c +}{hline 10}
1. 8 grades or less a {c |}{res}        64          0          0          0 {txt}{c |}{res}        64 
{txt}2. 9-11 grades, no fu {c |}{res}       116          0          0          0 {txt}{c |}{res}       116 
{txt}3. High school diplom {c |}{res}         0        519          0          0 {txt}{c |}{res}       519 
{txt}4. More than 12 years {c |}{res}         0          0        377          0 {txt}{c |}{res}       377 
{txt}5. Junior or communit {c |}{res}         0          0        168          0 {txt}{c |}{res}       168 
{txt}6. BA level degrees.  {c |}{res}         0          0          0        373 {txt}{c |}{res}       373 
{txt}7. Advanced degree, i {c |}{res}         0          0          0        183 {txt}{c |}{res}       183 
{txt}{hline 22}{c +}{hline 44}{c +}{hline 10}
                Total {c |}{res}       180        519        545        556 {txt}{c |}{res}     1,800 

{txt}
{com}.         label var educ "Education"
{txt}
{com}.         label def edu 1 "< HS" 2 "HS" 3 "Some College" 4 "College Degree+"
{txt}
{com}.         label values educ edu
{txt}
{com}.         tab educ

      {txt}Education {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
           < HS {c |}{res}        180       10.00       10.00
{txt}             HS {c |}{res}        519       28.83       38.83
{txt}   Some College {c |}{res}        545       30.28       69.11
{txt}College Degree+ {c |}{res}        556       30.89      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      1,800      100.00
{txt}
{com}.         
.         summ educ 

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 8}educ {c |}{res}      1800    2.820556    .9826283          1          4
{txt}
{com}.         gen educ01 = (educ - r(min))/(r(max)-r(min))
{txt}(7 missing values generated)

{com}.         label var educ01 "Education"
{txt}
{com}. 
. 
. *Income
.         rename V000994 income
{res}{txt}
{com}.         label var income "Household Income"
{txt}
{com}.         mvdecode income, mv(00 = . \ 0 = . \ 98 =. \ 99 = .)
      {txt}income:{res}{col 15}292{txt} missing values generated

{com}.         summ income, detail

                      {txt}Household Income
{hline 61}
      Percentiles      Smallest
 1%    {res}        1              1
{txt} 5%    {res}        2              1
{txt}10%    {res}        3              1       {txt}Obs         {res}       1515
{txt}25%    {res}        4              1       {txt}Sum of Wgt. {res}       1515

{txt}50%    {res}        6                      {txt}Mean          {res} 6.763696
                        {txt}Largest       Std. Dev.     {res} 3.748659
{txt}75%    {res}        8             22
{txt}90%    {res}       11             22       {txt}Variance      {res} 14.05245
{txt}95%    {res}       14             22       {txt}Skewness      {res} 1.408068
{txt}99%    {res}       21             22       {txt}Kurtosis      {res} 5.924098
{txt}
{com}.         tab income

              {txt}Household Income {c |}      Freq.     Percent        Cum.
{hline 31}{c +}{hline 35}
1. A. NONE OR LESS THAN $4,999 {c |}{res}         48        3.17        3.17
{txt}           2. B. $5,000-$9,999 {c |}{res}         81        5.35        8.51
{txt}         3. C. $10,000-$14,999 {c |}{res}        102        6.73       15.25
{txt}         4. D. $15,000-$24,999 {c |}{res}        174       11.49       26.73
{txt}         5. E. $25,000-$34,999 {c |}{res}        199       13.14       39.87
{txt}         6. F. $35,000-$49,999 {c |}{res}        238       15.71       55.58
{txt}         7. G. $50,000-$64,999 {c |}{res}        200       13.20       68.78
{txt}         8. H. $65,000-$74,999 {c |}{res}        122        8.05       76.83
{txt}         9. J. $75,000-$84,999 {c |}{res}         94        6.20       83.04
{txt}        10. K. $85,000-$94,999 {c |}{res}         61        4.03       87.06
{txt}       11. M. $95,000-$104,999 {c |}{res}         50        3.30       90.36
{txt}      12. N. $105,000-$114,999 {c |}{res}         36        2.38       92.74
{txt}      13. P. $115,000-$124,999 {c |}{res}         24        1.58       94.32
{txt}      14. Q. $125,000-$134,999 {c |}{res}         17        1.12       95.45
{txt}      15. R. $135,000-$144,999 {c |}{res}         12        0.79       96.24
{txt}      16. S. $145,000-$154,999 {c |}{res}         13        0.86       97.10
{txt}      17. T. $155,000-$164,999 {c |}{res}         11        0.73       97.82
{txt}      18. U. $165,000-$174,999 {c |}{res}          7        0.46       98.28
{txt}      19. V. $175,000-$184,999 {c |}{res}          6        0.40       98.68
{txt}      20. W. $185,000-$194,999 {c |}{res}          1        0.07       98.75
{txt}      21. X. $195,000-$199,999 {c |}{res}          5        0.33       99.08
{txt}      22. Y. $200,000 and over {c |}{res}         14        0.92      100.00
{txt}{hline 31}{c +}{hline 35}
                         Total {c |}{res}      1,515      100.00
{txt}
{com}.         
.         summ income

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 6}income {c |}{res}      1515    6.763696    3.748659          1         22
{txt}
{com}.         gen income01 = (income - r(min))/(r(max)-r(min))
{txt}(292 missing values generated)

{com}.         label var income01 "Household Income"
{txt}
{com}. 
. 
. *Employment Status
.         recode  V000918 (0=.) (1=1) (2=2) (3=2) (4=3) (5=4) (6=5) (7=6), gen(employment)
{txt}(755 differences between V000918 and employment)

{com}.         label var employment "Employment Status"
{txt}
{com}.         label def emp 1 "Working" 2 "Unemployed" 3 "Retired" 4 "Perm. Disabled" 5 "Homemaker" 6 "Student" 
{txt}
{com}.         label values employment emp
{txt}
{com}.         
.         recode employment (1=1) (2=2) (3=3) (4=4) (5=4) (6=4), gen(employed)
{txt}(279 differences between employment and employed)

{com}.         label var employed "Employment Status"
{txt}
{com}.         label def emp1 1 "Working" 2 "Unemployed" 3 "Retired" 4 "Perm. Disabled/Homemaker/Student"
{txt}
{com}.         label values employed emp1
{txt}
{com}. 
. *Age
.         rename  V000908 age
{res}{txt}
{com}.         mvdecode age, mv(00 = . \ 0 = . )
         {txt}age:{res}{col 15}9{txt} missing values generated

{com}.         label var age "Age"
{txt}
{com}.         tab age

             {txt}Age {c |}      Freq.     Percent        Cum.
{hline 17}{c +}{hline 35}
              18 {c |}{res}         12        0.67        0.67
{txt}              19 {c |}{res}         16        0.89        1.56
{txt}              20 {c |}{res}         23        1.28        2.84
{txt}              21 {c |}{res}         23        1.28        4.12
{txt}              22 {c |}{res}         23        1.28        5.39
{txt}              23 {c |}{res}         23        1.28        6.67
{txt}              24 {c |}{res}         26        1.45        8.12
{txt}              25 {c |}{res}         26        1.45        9.57
{txt}              26 {c |}{res}         28        1.56       11.12
{txt}              27 {c |}{res}         28        1.56       12.68
{txt}              28 {c |}{res}         29        1.61       14.29
{txt}              29 {c |}{res}         22        1.22       15.52
{txt}              30 {c |}{res}         34        1.89       17.41
{txt}              31 {c |}{res}         30        1.67       19.08
{txt}              32 {c |}{res}         36        2.00       21.08
{txt}              33 {c |}{res}         33        1.84       22.91
{txt}              34 {c |}{res}         40        2.22       25.14
{txt}              35 {c |}{res}         41        2.28       27.42
{txt}              36 {c |}{res}         45        2.50       29.92
{txt}              37 {c |}{res}         48        2.67       32.59
{txt}              38 {c |}{res}         40        2.22       34.82
{txt}              39 {c |}{res}         44        2.45       37.26
{txt}              40 {c |}{res}         46        2.56       39.82
{txt}              41 {c |}{res}         42        2.34       42.16
{txt}              42 {c |}{res}         48        2.67       44.83
{txt}              43 {c |}{res}         37        2.06       46.89
{txt}              44 {c |}{res}         41        2.28       49.17
{txt}              45 {c |}{res}         34        1.89       51.06
{txt}              46 {c |}{res}         35        1.95       53.00
{txt}              47 {c |}{res}         38        2.11       55.12
{txt}              48 {c |}{res}         36        2.00       57.12
{txt}              49 {c |}{res}         32        1.78       58.90
{txt}              50 {c |}{res}         39        2.17       61.07
{txt}              51 {c |}{res}         35        1.95       63.01
{txt}              52 {c |}{res}         26        1.45       64.46
{txt}              53 {c |}{res}         31        1.72       66.18
{txt}              54 {c |}{res}         30        1.67       67.85
{txt}              55 {c |}{res}         26        1.45       69.30
{txt}              56 {c |}{res}         36        2.00       71.30
{txt}              57 {c |}{res}         40        2.22       73.53
{txt}              58 {c |}{res}         33        1.84       75.36
{txt}              59 {c |}{res}         25        1.39       76.75
{txt}              60 {c |}{res}         21        1.17       77.92
{txt}              61 {c |}{res}         20        1.11       79.03
{txt}              62 {c |}{res}         17        0.95       79.98
{txt}              63 {c |}{res}         29        1.61       81.59
{txt}              64 {c |}{res}         16        0.89       82.48
{txt}              65 {c |}{res}         24        1.33       83.82
{txt}              66 {c |}{res}         17        0.95       84.76
{txt}              67 {c |}{res}         14        0.78       85.54
{txt}              68 {c |}{res}         17        0.95       86.48
{txt}              69 {c |}{res}         18        1.00       87.49
{txt}              70 {c |}{res}         17        0.95       88.43
{txt}              71 {c |}{res}         11        0.61       89.04
{txt}              72 {c |}{res}         16        0.89       89.93
{txt}              73 {c |}{res}         22        1.22       91.16
{txt}              74 {c |}{res}         17        0.95       92.10
{txt}              75 {c |}{res}         17        0.95       93.05
{txt}              76 {c |}{res}         14        0.78       93.83
{txt}              77 {c |}{res}          9        0.50       94.33
{txt}              78 {c |}{res}         12        0.67       94.99
{txt}              79 {c |}{res}         13        0.72       95.72
{txt}              80 {c |}{res}         10        0.56       96.27
{txt}              81 {c |}{res}          9        0.50       96.77
{txt}              82 {c |}{res}         15        0.83       97.61
{txt}              83 {c |}{res}          6        0.33       97.94
{txt}              84 {c |}{res}          9        0.50       98.44
{txt}              85 {c |}{res}          5        0.28       98.72
{txt}              86 {c |}{res}          1        0.06       98.78
{txt}              87 {c |}{res}          2        0.11       98.89
{txt}              88 {c |}{res}          6        0.33       99.22
{txt}              89 {c |}{res}          5        0.28       99.50
{txt}              90 {c |}{res}          2        0.11       99.61
{txt}              91 {c |}{res}          1        0.06       99.67
{txt}              92 {c |}{res}          1        0.06       99.72
{txt}              93 {c |}{res}          2        0.11       99.83
{txt}              95 {c |}{res}          1        0.06       99.89
{txt}              96 {c |}{res}          1        0.06       99.94
{txt}97. 97 and older {c |}{res}          1        0.06      100.00
{txt}{hline 17}{c +}{hline 35}
           Total {c |}{res}      1,798      100.00
{txt}
{com}.         summ age, detail

                             {txt}Age
{hline 61}
      Percentiles      Smallest
 1%    {res}       19             18
{txt} 5%    {res}       22             18
{txt}10%    {res}       26             18       {txt}Obs         {res}       1798
{txt}25%    {res}       34             18       {txt}Sum of Wgt. {res}       1798

{txt}50%    {res}       45                      {txt}Mean          {res} 47.20634
                        {txt}Largest       Std. Dev.     {res} 16.96201
{txt}75%    {res}       58             93
{txt}90%    {res}       73             95       {txt}Variance      {res} 287.7098
{txt}95%    {res}       79             96       {txt}Skewness      {res} .4333556
{txt}99%    {res}       88             97       {txt}Kurtosis      {res} 2.475914
{txt}
{com}.         
.         summ age

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 9}age {c |}{res}      1798    47.20634    16.96201         18         97
{txt}
{com}.         gen age01 = (age - r(min))/(r(max)-r(min))
{txt}(9 missing values generated)

{com}.         label var age01 "Age"
{txt}
{com}.         
.         
. *Gender
.         recode V001029 (1=0) (2=1), gen(gender)
{txt}(1807 differences between V001029 and gender)

{com}.         label var gender "Gender"
{txt}
{com}.         label def gend 1 "Female" 0 "Male"
{txt}
{com}.         label values gender gend
{txt}
{com}.         tab gender

     {txt}Gender {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       Male {c |}{res}        790       43.72       43.72
{txt}     Female {c |}{res}      1,017       56.28      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,807      100.00
{txt}
{com}.         
. *Personal Financial Situation
.         *Better Worse Off From 1 Year Ago
.                 recode  V000401 (1=5) (2=4) (3=3) (4=2) (5=1) (0=.) (8=.) (9=.), gen(retf_pre)
{txt}(1325 differences between V000401 and retf_pre)

{com}.                 recode  V001412 (1=5) (2=4) (3=3) (4=2) (5=1) (0=.) (8=.) (9=.), gen(retf_post)
{txt}(1372 differences between V001412 and retf_post)

{com}.                 gen retro_finance = .
{txt}(1807 missing values generated)

{com}.                 replace retro_finance = retf_pre
{txt}(923 real changes made)

{com}.                 replace retro_finance = retf_post if retro_finance == .
{txt}(761 real changes made)

{com}.                 label var retro_finance "Finances Compraed to Yr. Ago"
{txt}
{com}.                 label values retro_finance eco3 
{txt}
{com}.         
.         *Dental/Medical Care
.                 recode V000402 (1=1) (5=0) (9=.) (0=.), gen(med_pre)
{txt}(1529 differences between V000402 and med_pre)

{com}.                 recode V001413 (1=1) (5=0) (9=.) (0=.), gen(med_post)
{txt}(1628 differences between V001413 and med_post)

{com}.                 gen medical = .
{txt}(1807 missing values generated)

{com}.                 replace medical = med_pre
{txt}(927 real changes made)

{com}.                 replace medical = med_post if medical == . 
{txt}(764 real changes made)

{com}.                 label var medical "Put off medical care?"
{txt}
{com}.                 label def med 1 "Put Off Medical Care" 0 "Did Not Put Off Med. Care"
{txt}
{com}.                 label values medical med
{txt}
{com}.         
.         *Better Worse Off in 1 year
.                 recode V000406 (1=5) (2=4) (3=3) (4=2) (5=1) (0=.) (8=.) (9=.), gen(prosp_pre)
{txt}(1328 differences between V000406 and prosp_pre)

{com}.                 recode V001417 (1=5) (2=4) (3=3) (4=2) (5=1) (0=.) (8=.) (9=.), gen(prosp_post)
{txt}(1393 differences between V001417 and prosp_post)

{com}.                 gen prosp_finance = . 
{txt}(1807 missing values generated)

{com}.                 replace prosp_finance = prosp_pre
{txt}(898 real changes made)

{com}.                 replace prosp_finance = prosp_post if prosp_finance == . 
{txt}(744 real changes made)

{com}.                 label var prosp_finance "Exp. Finances in 1 Yr"
{txt}
{com}.                 label values prosp_finance eco3 
{txt}
{com}.                 
.         *Summary Statisitcs and Inter-relationship
.                 tab retro_finance 

       {txt}Finances {c |}
Compraed to Yr. {c |}
            Ago {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
     Much Worse {c |}{res}         64        3.80        3.80
{txt} Somewhat Worse {c |}{res}        145        8.61       12.41
{txt}      No Effect {c |}{res}        917       54.45       66.86
{txt}Somewhat Better {c |}{res}        375       22.27       89.13
{txt}    Much Better {c |}{res}        183       10.87      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      1,684      100.00
{txt}
{com}.                 tab medical

    {txt}Put off medical care? {c |}      Freq.     Percent        Cum.
{hline 26}{c +}{hline 35}
Did Not Put Off Med. Care {c |}{res}      1,234       72.97       72.97
{txt}     Put Off Medical Care {c |}{res}        457       27.03      100.00
{txt}{hline 26}{c +}{hline 35}
                    Total {c |}{res}      1,691      100.00
{txt}
{com}.                 tab prosp_finance

  {txt}Exp. Finances {c |}
        in 1 Yr {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
     Much Worse {c |}{res}         24        1.46        1.46
{txt} Somewhat Worse {c |}{res}         70        4.26        5.72
{txt}      No Effect {c |}{res}        893       54.38       60.11
{txt}Somewhat Better {c |}{res}        451       27.47       87.58
{txt}    Much Better {c |}{res}        204       12.42      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      1,642      100.00
{txt}
{com}.                 
.                 pwcorr retro_finance prosp_finance, sig

             {txt}{c |} retro_~e prosp~ce
{hline 13}{c +}{hline 18}
retro_fina~e {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
prosp_fina~e {c |} {res}  0.3000   1.0000 
             {txt}{c |}{res}   0.0000
             {txt}{c |}

{com}.                 tab retro_finance medical, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

       Finances {c |}
Compraed to Yr. {c |} Put off medical care?
            Ago {c |} Did Not P  Put Off M {c |}     Total
{hline 16}{c +}{hline 22}{c +}{hline 10}
     Much Worse {c |}{res}        32         32 {txt}{c |}{res}        64 
                {txt}{c |}{res}     50.00      50.00 {txt}{c |}{res}    100.00 
                {txt}{c |}{res}      2.60       7.03 {txt}{c |}{res}      3.80 
{txt}{hline 16}{c +}{hline 22}{c +}{hline 10}
 Somewhat Worse {c |}{res}        88         57 {txt}{c |}{res}       145 
                {txt}{c |}{res}     60.69      39.31 {txt}{c |}{res}    100.00 
                {txt}{c |}{res}      7.16      12.53 {txt}{c |}{res}      8.61 
{txt}{hline 16}{c +}{hline 22}{c +}{hline 10}
      No Effect {c |}{res}       678        239 {txt}{c |}{res}       917 
                {txt}{c |}{res}     73.94      26.06 {txt}{c |}{res}    100.00 
                {txt}{c |}{res}     55.17      52.53 {txt}{c |}{res}     54.45 
{txt}{hline 16}{c +}{hline 22}{c +}{hline 10}
Somewhat Better {c |}{res}       292         83 {txt}{c |}{res}       375 
                {txt}{c |}{res}     77.87      22.13 {txt}{c |}{res}    100.00 
                {txt}{c |}{res}     23.76      18.24 {txt}{c |}{res}     22.27 
{txt}{hline 16}{c +}{hline 22}{c +}{hline 10}
    Much Better {c |}{res}       139         44 {txt}{c |}{res}       183 
                {txt}{c |}{res}     75.96      24.04 {txt}{c |}{res}    100.00 
                {txt}{c |}{res}     11.31       9.67 {txt}{c |}{res}     10.87 
{txt}{hline 16}{c +}{hline 22}{c +}{hline 10}
          Total {c |}{res}     1,229        455 {txt}{c |}{res}     1,684 
                {txt}{c |}{res}     72.98      27.02 {txt}{c |}{res}    100.00 
                {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}4{txt}) = {res} 34.0362  {txt} Pr = {res}0.000
{txt}
{com}.                 tab prosp_finance medical, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

  Exp. Finances {c |} Put off medical care?
        in 1 Yr {c |} Did Not P  Put Off M {c |}     Total
{hline 16}{c +}{hline 22}{c +}{hline 10}
     Much Worse {c |}{res}        12         12 {txt}{c |}{res}        24 
                {txt}{c |}{res}     50.00      50.00 {txt}{c |}{res}    100.00 
                {txt}{c |}{res}      1.00       2.72 {txt}{c |}{res}      1.46 
{txt}{hline 16}{c +}{hline 22}{c +}{hline 10}
 Somewhat Worse {c |}{res}        44         26 {txt}{c |}{res}        70 
                {txt}{c |}{res}     62.86      37.14 {txt}{c |}{res}    100.00 
                {txt}{c |}{res}      3.66       5.90 {txt}{c |}{res}      4.26 
{txt}{hline 16}{c +}{hline 22}{c +}{hline 10}
      No Effect {c |}{res}       678        215 {txt}{c |}{res}       893 
                {txt}{c |}{res}     75.92      24.08 {txt}{c |}{res}    100.00 
                {txt}{c |}{res}     56.45      48.75 {txt}{c |}{res}     54.38 
{txt}{hline 16}{c +}{hline 22}{c +}{hline 10}
Somewhat Better {c |}{res}       324        127 {txt}{c |}{res}       451 
                {txt}{c |}{res}     71.84      28.16 {txt}{c |}{res}    100.00 
                {txt}{c |}{res}     26.98      28.80 {txt}{c |}{res}     27.47 
{txt}{hline 16}{c +}{hline 22}{c +}{hline 10}
    Much Better {c |}{res}       143         61 {txt}{c |}{res}       204 
                {txt}{c |}{res}     70.10      29.90 {txt}{c |}{res}    100.00 
                {txt}{c |}{res}     11.91      13.83 {txt}{c |}{res}     12.42 
{txt}{hline 16}{c +}{hline 22}{c +}{hline 10}
          Total {c |}{res}     1,201        441 {txt}{c |}{res}     1,642 
                {txt}{c |}{res}     73.14      26.86 {txt}{c |}{res}    100.00 
                {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}4{txt}) = {res} 15.1814  {txt} Pr = {res}0.004
{txt}
{com}.                 ttest retro_finance, by(medical)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Did Not {c |}{res}{col 12}   1229{col 22} 3.340114{col 34} .0247144{col 46} .8664167{col 58} 3.291627{col 70} 3.388601
 {txt}Put Off {c |}{res}{col 12}    455{col 22}  3.10989{col 34} .0460738{col 46} .9827874{col 58} 3.019346{col 70} 3.200434
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}   1684{col 22}  3.27791{col 34} .0220497{col 46} .9048421{col 58} 3.234662{col 70} 3.321157
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .2302238{col 34} .0493514{col 58} .1334271{col 70} .3270205
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Did Not{txt}) - mean({res}Put Off{txt})                          t = {res}  4.6650
{txt}Ho: diff = 0                                     degrees of freedom = {res}    1682

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}.                 ttest prosp_finance, by(medical)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Did Not {c |}{res}{col 12}   1201{col 22} 3.451291{col 34} .0227117{col 46} .7870835{col 58} 3.406732{col 70}  3.49585
 {txt}Put Off {c |}{res}{col 12}    441{col 22} 3.451247{col 34}  .042785{col 46} .8984859{col 58} 3.367159{col 70} 3.535336
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}   1642{col 22} 3.451279{col 34}  .020192{col 46} .8182122{col 58} 3.411674{col 70} 3.490884
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0000434{col 34} .0455716{col 58}-.0893412{col 70} .0894281
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Did Not{txt}) - mean({res}Put Off{txt})                          t = {res}  0.0010
{txt}Ho: diff = 0                                     degrees of freedom = {res}    1640

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5004         {txt}Pr(|T| > |t|) = {res}0.9992          {txt}Pr(T > t) = {res}0.4996
{txt}
{com}.                 
.                 
. *Race/Hispanic*
.         gen race = . 
{txt}(1807 missing values generated)

{com}.         replace race = 1 if V001006a == 50
{txt}(1393 real changes made)

{com}.         replace race = 2 if V001006a == 10
{txt}(208 real changes made)

{com}.         replace race = 3 if V001006a == 20
{txt}(32 real changes made)

{com}.         replace race = 3 if V001006a == 30
{txt}(20 real changes made)

{com}.         replace race = 3 if V001006a == 40
{txt}(93 real changes made)

{com}.         replace race = 3 if V001006a >= 60 & V001006a <= 90
{txt}(42 real changes made)

{com}.         label var race "Race"
{txt}
{com}.         label def rac 1 "White" 2 "Black" 3 "Other"
{txt}
{com}.         label values race rac
{txt}
{com}.         
.         gen race_eth = . 
{txt}(1807 missing values generated)

{com}.         replace race_eth = 1 if race == 1 & V001012 == 5
{txt}(1360 real changes made)

{com}.         replace race_eth = 2 if race == 2 & V001012 == 5
{txt}(203 real changes made)

{com}.         replace race_eth = 1 if race == 1 & V001012 == 8
{txt}(3 real changes made)

{com}.         replace race_eth = 2 if race == 2 & V001012 == 8
{txt}(0 real changes made)

{com}.         replace race_eth = 3 if race == 3 & V001012 == 1
{txt}(96 real changes made)

{com}.         replace race_eth = 4 if race == 3 & V001012 == 5
{txt}(88 real changes made)

{com}.         replace race_eth = 4 if race == 3 & V001012 == 8
{txt}(3 real changes made)

{com}.         label def rac1 1 "White" 2 "Black" 3 "Hispanic" 4 "Other" 
{txt}
{com}.         label values race_eth rac1
{txt}
{com}.         label var race_eth "Race/Ethnicity"
{txt}
{com}. 
. 
. *Marital Status
.         recode V000909 (0=.) (1=1) (2=0) (3=0) (4=0) (5=0) (6=0)(8=.) (9=.), gen(marital)
{txt}(872 differences between V000909 and marital)

{com}.         label var marital "Marital Status"
{txt}
{com}.         label def mar 1 "Married" 0 "Not Married" 
{txt}
{com}.         label values marital mar
{txt}
{com}.         
.         
. *Political Interest
.         tab V001367

 {txt}F5. R follows govt and public {c |}
                       affairs {c |}      Freq.     Percent        Cum.
{hline 31}{c +}{hline 35}
0. NA. INAP, no Post interview {c |}{res}        252       13.95       13.95
{txt}           1. MOST OF THE TIME {c |}{res}        339       18.76       32.71
{txt}           2. SOME OF THE TIME {c |}{res}        569       31.49       64.19
{txt}          3. ONLY NOW AND THEN {c |}{res}        423       23.41       87.60
{txt}              4. HARDLY AT ALL {c |}{res}        212       11.73       99.34
{txt}                         8. DK {c |}{res}         11        0.61       99.94
{txt}                         9. RF {c |}{res}          1        0.06      100.00
{txt}{hline 31}{c +}{hline 35}
                         Total {c |}{res}      1,807      100.00
{txt}
{com}.         recode V001367 (1=4) (2=3) (3=2) (4=1) (0=.) (8=.) (9=.), gen(interest)
{txt}(1807 differences between V001367 and interest)

{com}.         label var interest "Political Interest"
{txt}
{com}.         label def int 1 "Hardly at all" 2 "Only now and then" 3 "Some of the time" 4 "Most of the Time"
{txt}
{com}.         label values interest int
{txt}
{com}.         tab interest

        {txt}Political {c |}
         Interest {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
    Hardly at all {c |}{res}        212       13.74       13.74
{txt}Only now and then {c |}{res}        423       27.41       41.15
{txt} Some of the time {c |}{res}        569       36.88       78.03
{txt} Most of the Time {c |}{res}        339       21.97      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,543      100.00
{txt}
{com}.         summ interest, detail

                     {txt}Political Interest
{hline 61}
      Percentiles      Smallest
 1%    {res}        1              1
{txt} 5%    {res}        1              1
{txt}10%    {res}        1              1       {txt}Obs         {res}       1543
{txt}25%    {res}        2              1       {txt}Sum of Wgt. {res}       1543

{txt}50%    {res}        3                      {txt}Mean          {res} 2.670771
                        {txt}Largest       Std. Dev.     {res} .9672832
{txt}75%    {res}        3              4
{txt}90%    {res}        4              4       {txt}Variance      {res} .9356367
{txt}95%    {res}        4              4       {txt}Skewness      {res}-.2150036
{txt}99%    {res}        4              4       {txt}Kurtosis      {res}  2.07749
{txt}
{com}.         
.         summ interest

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 4}interest {c |}{res}      1543    2.670771    .9672832          1          4
{txt}
{com}.         gen interest01 = (interest - r(min))/(r(max)-r(min))
{txt}(264 missing values generated)

{com}.         label var interest01 "Political Interest"
{txt}
{com}. 
. *News Attention
.         recode V001428 (0=.) (1=0) (3=0) (5=0) (7=0) (6=1) (8=.), gen(nightly)
{txt}(1807 differences between V001428 and nightly)

{com}.         label var nightly "Nightly News Watcher?"
{txt}
{com}.         label def nig 1 "No Nightly News" 0 "Nightly News" 
{txt}
{com}.         label values nightly nig
{txt}
{com}.         tab nightly

   {txt}Nightly News {c |}
       Watcher? {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
   Nightly News {c |}{res}      1,327       87.82       87.82
{txt}No Nightly News {c |}{res}        184       12.18      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      1,511      100.00
{txt}
{com}.         
.         gen radio = . 
{txt}(1807 missing values generated)

{com}.         replace radio = 1 if V001430  == 5
{txt}(994 real changes made)

{com}.         replace radio = 2 if V001430 == 1 &  V001431 == 4
{txt}(248 real changes made)

{com}.         replace radio = 3 if V001430 == 1 &  V001431 == 3
{txt}(144 real changes made)

{com}.         replace radio = 4 if V001430 == 1 &  V001431 == 2
{txt}(77 real changes made)

{com}.         replace radio = 5 if V001430 == 1 &  V001431 == 1
{txt}(92 real changes made)

{com}.         label var radio "Listen to Talk Radio"
{txt}
{com}.         label def rad 1 "No" 2 "Ocassionally" 3 "1-2 Times Week" 4 "Most Days" 5 "Everyday"
{txt}
{com}.         label values radio rad
{txt}
{com}.         tab radio

{txt}Listen to Talk {c |}
         Radio {c |}      Freq.     Percent        Cum.
{hline 15}{c +}{hline 35}
            No {c |}{res}        994       63.92       63.92
{txt}  Ocassionally {c |}{res}        248       15.95       79.87
{txt}1-2 Times Week {c |}{res}        144        9.26       89.13
{txt}     Most Days {c |}{res}         77        4.95       94.08
{txt}      Everyday {c |}{res}         92        5.92      100.00
{txt}{hline 15}{c +}{hline 35}
         Total {c |}{res}      1,555      100.00
{txt}
{com}.         summ radio

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 7}radio {c |}{res}      1555    1.729904    1.179119          1          5
{txt}
{com}.         
.         gen internet = . 
{txt}(1807 missing values generated)

{com}.         replace internet = 1 if V001433 == 5
{txt}(581 real changes made)

{com}.         replace internet = 2 if V001433 == 1 & V001434 == 5
{txt}(509 real changes made)

{com}.         replace internet = 3 if V001433 == 1 & V001434 == 1
{txt}(464 real changes made)

{com}.         label var internet "Internet Access & Campaign Attention"
{txt}
{com}.         label def int1 1 "No Internet" 2 "Internet, No Election Info" 3 "Internet, Election Info"
{txt}
{com}.         label values internet int1
{txt}
{com}.         tab internet

{txt}Internet Access & Campaign {c |}
                 Attention {c |}      Freq.     Percent        Cum.
{hline 27}{c +}{hline 35}
               No Internet {c |}{res}        581       37.39       37.39
{txt}Internet, No Election Info {c |}{res}        509       32.75       70.14
{txt}   Internet, Election Info {c |}{res}        464       29.86      100.00
{txt}{hline 27}{c +}{hline 35}
                     Total {c |}{res}      1,554      100.00
{txt}
{com}.         
. *Knowledge
.         label def corre 1 "Correct" 0 "Incorrect/No Guess"
{txt}
{com}.         *lott 
.                 recode V001447 (0=.) (1=1) (5=0) (8=0) (9=.), gen(lott)
{txt}(1672 differences between V001447 and lott)

{com}.                 label var lott "Trent Lott Knowledge"
{txt}
{com}.                 label values lott corre
{txt}
{com}.         *reinquist
.                 recode V001450 (0=.) (1=1) (5=0) (8=0) (9=.), gen(rein)
{txt}(1643 differences between V001450 and rein)

{com}.                 label var rein "Reinquist Knowledge" 
{txt}
{com}.                 label values rein corre
{txt}
{com}.         *Blair
.                 recode V001453 (0=.) (1=1) (5=0) (8=0) (9=.), gen(blair)
{txt}(1271 differences between V001453 and blair)

{com}.                 label var blair "Blair Knowledge"
{txt}
{com}.                 label values blair corre
{txt}
{com}.         *Reno
.                 recode V001456 (0=.) (1=1) (5=0) (8=0) (9=.), gen(reno)
{txt}(950 differences between V001456 and reno)

{com}.                 label var reno "Reno Knowledge"
{txt}
{com}.                 label values reno corre
{txt}
{com}.         *bush state: K3a
.                 recode V001458 (0=.) (1=0) (2=0) (3=1) (4=0) (7=0) (8=0) (9=.), gen(bush_state)
{txt}(1807 differences between V001458 and bush_state)

{com}.                 label var bush_state "Bush State Knowledge"
{txt}
{com}.                 label values bush_state corre
{txt}
{com}.         *bush religion: K3b
.                 *correct = methodist*
.                 recode  V001460 (0=0) (1=0) (2=1) (3=0) (7=0) (8=0) (9=.), gen(bush_religion)
{txt}(1792 differences between V001460 and bush_religion)

{com}.                 label var bush_religion "Bush Religion Knowledge"
{txt}
{com}.                 label values bush_religion corre
{txt}
{com}.         *gore state k4a
.                 *correct = tennessee
.                 recode V001462 (0=.) (1=0) (2=1) (3=0) (4=0) (7=0) (8=0) (9=.), gen(gore_state)
{txt}(1807 differences between V001462 and gore_state)

{com}.                 label var gore_state "Gore State Knowledge"
{txt}
{com}.                 label values gore_state corre
{txt}
{com}.         *gore religion: k4b
.                 *correct = baptist
.                 recode V001464 (0=0) (1=1) (2=0) (3=0) (7=0) (8=0) (9=.), gen(gore_religion)
{txt}(1538 differences between V001464 and gore_religion)

{com}.                 label var gore_religion "Gore Religion Knowledge"
{txt}
{com}.                 label values gore_religion corre
{txt}
{com}.         *cheney state
.                 *correct = wyoming
.                 recode V001466 (0=.) (1=0) (2=0) (3=0) (4=1) (7=0) (8=0) (9=.), gen(cheney_state)
{txt}(1807 differences between V001466 and cheney_state)

{com}.                 label var cheney_state "Cheney State Knowledge"
{txt}
{com}.                 label values cheney_state corre
{txt}
{com}.         *cheney religion
.                 *correct = methodist*
.                 recode V001468 (0=0) (1=0) (2=1) (3=0) (7=0) (8=0) (9=.), gen(cheney_religion)
{txt}(1791 differences between V001468 and cheney_religion)

{com}.                 label var cheney_religion "Cheney Religion Knowledge"
{txt}
{com}.                 label values cheney_religion corre
{txt}
{com}.         *lieberman state
.                 *correct = ct
.                 recode V001470 (0=.) (1=1) (2=0) (3=0) (4=0) (7=0) (8=0) (9=.), gen(lieb_state)
{txt}(1334 differences between V001470 and lieb_state)

{com}.                 label var lieb_state "Liberman State Knowledge"
{txt}
{com}.                 label values lieb_state corre
{txt}
{com}.         *lieberman religion
.                 *correct = jewish
.                 recode V001472 (0=0) (1=0) (2=0) (3=1) (7=0) (8=0) (9=.), gen(lieb_religion)
{txt}(1805 differences between V001472 and lieb_religion)

{com}.                 label var lieb_religion "Liberman Religion Knowledge"
{txt}
{com}.                 label values lieb_religion corre
{txt}
{com}. 
. 
.         egen knowl = rowtotal(lott rein blair reno bush_state bush_religion gore_state gore_religion cheney_state cheney_religion lieb_religion lieb_state), missing
{txt}(252 missing values generated)

{com}.         label var knowl "Knowledge"
{txt}
{com}.         tab knowl

  {txt}Knowledge {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         98        6.30        6.30
{txt}          1 {c |}{res}        159       10.23       16.53
{txt}          2 {c |}{res}        185       11.90       28.42
{txt}          3 {c |}{res}        223       14.34       42.77
{txt}          4 {c |}{res}        225       14.47       57.23
{txt}          5 {c |}{res}        203       13.05       70.29
{txt}          6 {c |}{res}        182       11.70       81.99
{txt}          7 {c |}{res}        123        7.91       89.90
{txt}          8 {c |}{res}         77        4.95       94.86
{txt}          9 {c |}{res}         64        4.12       98.97
{txt}         10 {c |}{res}         13        0.84       99.81
{txt}         11 {c |}{res}          3        0.19      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,555      100.00
{txt}
{com}.         summ knowl, detail

                          {txt}Knowledge
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        1              0       {txt}Obs         {res}       1555
{txt}25%    {res}        2              0       {txt}Sum of Wgt. {res}       1555

{txt}50%    {res}        4                      {txt}Mean          {res}  4.12926
                        {txt}Largest       Std. Dev.     {res} 2.462201
{txt}75%    {res}        6             10
{txt}90%    {res}        8             11       {txt}Variance      {res} 6.062432
{txt}95%    {res}        9             11       {txt}Skewness      {res} .2509962
{txt}99%    {res}       10             11       {txt}Kurtosis      {res} 2.348327
{txt}
{com}.         
.         summ knowl

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 7}knowl {c |}{res}      1555     4.12926    2.462201          0         11
{txt}
{com}.         gen knowl01 = (knowl - r(min))/(r(max)-r(min))
{txt}(252 missing values generated)

{com}.         label var knowl01 "Knowledge"
{txt}
{com}.                 
.                 
. *Ideology
.         tab  V000446

      {txt}G6x1. Summary self plcmnt lib-con {c |}
                                 scale/ {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
                                  0. NA {c |}{res}          1        0.06        0.06
{txt}1. SCALE: 1 / BRANCHING: strong liberal {c |}{res}         82        4.54        4.59
{txt}2. SCALE: 2 / BRANCHING: not strong lib {c |}{res}        158        8.74       13.34
{txt}3. SCALE: 3. had to choose liberal / BR {c |}{res}        351       19.42       32.76
{txt}4. SCALE: 4. had to choose moderate/ BR {c |}{res}        109        6.03       38.79
{txt}5. SCALE: 5. had to choose conserv/ BRA {c |}{res}        528       29.22       68.01
{txt}6. SCALE: 6 / BRANCHING: not strong con {c |}{res}        250       13.84       81.85
{txt}7. SCALE: 7 / BRANCHING: strong conserv {c |}{res}        145        8.02       89.87
{txt}                                  8. DK {c |}{res}         18        1.00       90.87
{txt}                 9. R refuses to choose {c |}{res}        165        9.13      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}      1,807      100.00
{txt}
{com}.         rename V000446 ideology
{res}{txt}
{com}.         
.         recode ideology (1 2 3 = 1) (5 6 7 = 2) (4 = 3) (0 8 9 = 4), gen(ideol_4)
{txt}(1725 differences between ideology and ideol_4)

{com}.         label var ideol_4 "Ideology"
{txt}
{com}.         label def ide 1 "Liberal" 2 "Conservative" 3 "Moderate" 4 "Refuse to Choose" 
{txt}
{com}.         label values ideol_4 ide
{txt}
{com}.         
.         mvdecode ideology, mv(0 = .a \ 8 = .b \ 9 = .c)
    {txt}ideology:{res}{col 15}184{txt} missing values generated

{com}.         tab ideology

      {txt}G6x1. Summary self plcmnt lib-con {c |}
                                 scale/ {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
1. SCALE: 1 / BRANCHING: strong liberal {c |}{res}         82        5.05        5.05
{txt}2. SCALE: 2 / BRANCHING: not strong lib {c |}{res}        158        9.74       14.79
{txt}3. SCALE: 3. had to choose liberal / BR {c |}{res}        351       21.63       36.41
{txt}4. SCALE: 4. had to choose moderate/ BR {c |}{res}        109        6.72       43.13
{txt}5. SCALE: 5. had to choose conserv/ BRA {c |}{res}        528       32.53       75.66
{txt}6. SCALE: 6 / BRANCHING: not strong con {c |}{res}        250       15.40       91.07
{txt}7. SCALE: 7 / BRANCHING: strong conserv {c |}{res}        145        8.93      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}      1,623      100.00
{txt}
{com}.         
.         summ ideology

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 4}ideology {c |}{res}      1623    4.338879    1.640956          1          7
{txt}
{com}.         gen ideology01 = (ideology - r(min))/(r(max)-r(min))
{txt}(184 missing values generated)

{com}.         label var ideology01 "Ideology"
{txt}
{com}.         
.         recode ideology (1=4) (2=3) (3=2) (4=1) (5=2) (6=3) (7=4), gen(ideol_str)
{txt}(1623 differences between ideology and ideol_str)

{com}.         label var ideol_str "Ideological Extremity"
{txt}
{com}.         
.         summ ideol_str

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 3}ideol_str {c |}{res}      1623    2.463956    .8143448          1          4
{txt}
{com}.         gen ideol_str01 = (ideol_str - r(min))/(r(max)-r(min))
{txt}(184 missing values generated)

{com}.         label var ideol_str01 "Ideological Extremity"
{txt}
{com}.         
.         
.         
.         
.         
. *Network Expertise
. 
. 
. foreach var in V001709 V001717 V001725 V001733 {c -(} 
{txt}  2{com}.                         tab `var'
{txt}  3{com}.                         {c )-}

    {txt}Z11. How much does name 1 {c |}
               know about pol {c |}      Freq.     Percent        Cum.
{hline 30}{c +}{hline 35}
0. NA. INAP, 5, 8, 9, 0 in Z1 {c |}{res}        655       36.25       36.25
{txt}              1. A GREAT DEAL {c |}{res}        483       26.73       62.98
{txt}         3. AN AVERAGE AMOUNT {c |}{res}        557       30.82       93.80
{txt}           5. NOT MUCH AT ALL {c |}{res}        104        5.76       99.56
{txt}          8. DK - DON'T PROBE {c |}{res}          7        0.39       99.94
{txt}          9. RF - DON'T PROBE {c |}{res}          1        0.06      100.00
{txt}{hline 30}{c +}{hline 35}
                        Total {c |}{res}      1,807      100.00

    {txt}Z15. How much does name 2 {c |}
               know about pol {c |}      Freq.     Percent        Cum.
{hline 30}{c +}{hline 35}
0. NA. INAP, 5, 8, 9, 0 in Z3 {c |}{res}        946       52.35       52.35
{txt}              1. A GREAT DEAL {c |}{res}        285       15.77       68.12
{txt}     3. AN AVERAGE AMOUNT, OR {c |}{res}        478       26.45       94.58
{txt}           5. NOT MUCH AT ALL {c |}{res}         94        5.20       99.78
{txt}          8. DK - DON'T PROBE {c |}{res}          3        0.17       99.94
{txt}          9. RF - DON'T PROBE {c |}{res}          1        0.06      100.00
{txt}{hline 30}{c +}{hline 35}
                        Total {c |}{res}      1,807      100.00

    {txt}Z19. How much does name 3 {c |}
               know about pol {c |}      Freq.     Percent        Cum.
{hline 30}{c +}{hline 35}
0. NA. INAP, 5, 8, 9, 0 in Z5 {c |}{res}      1,257       69.56       69.56
{txt}              1. A GREAT DEAL {c |}{res}        187       10.35       79.91
{txt}     3. AN AVERAGE AMOUNT, OR {c |}{res}        292       16.16       96.07
{txt}           5. NOT MUCH AT ALL {c |}{res}         69        3.82       99.89
{txt}          8. DK - DON'T PROBE {c |}{res}          2        0.11      100.00
{txt}{hline 30}{c +}{hline 35}
                        Total {c |}{res}      1,807      100.00

    {txt}Z23. How much does name 4 {c |}
               know about pol {c |}      Freq.     Percent        Cum.
{hline 30}{c +}{hline 35}
0. NA. INAP, 5, 8, 9, 0 in Z7 {c |}{res}      1,480       81.90       81.90
{txt}              1. A GREAT DEAL {c |}{res}        108        5.98       87.88
{txt}     3. AN AVERAGE AMOUNT, OR {c |}{res}        177        9.80       97.68
{txt}           5. NOT MUCH AT ALL {c |}{res}         42        2.32      100.00
{txt}{hline 30}{c +}{hline 35}
                        Total {c |}{res}      1,807      100.00
{txt}
{com}.                 recode V001709 (1=3) (3=2) (5=1), gen(disc1_knowl)
{txt}(1144 differences between V001709 and disc1_knowl)

{com}.                 recode V001717 (1=3) (3=2) (5=1), gen(disc2_knowl)
{txt}(857 differences between V001717 and disc2_knowl)

{com}.                 recode V001725 (1=3) (3=2) (5=1), gen(disc3_knowl)
{txt}(548 differences between V001725 and disc3_knowl)

{com}.                 recode V001733 (1=3) (3=2) (5=1), gen(disc4_knowl)
{txt}(327 differences between V001733 and disc4_knowl)

{com}.                 mvdecode disc1_knowl disc2_knowl disc3_knowl disc4_knowl, mv(0 = .a \ 8 = .b \ 9 = .c)
 {txt}disc1_knowl:{res}{col 15}663{txt} missing values generated
 disc2_knowl:{res}{col 15}950{txt} missing values generated
 disc3_knowl:{res}{col 15}1259{txt} missing values generated
 disc4_knowl:{res}{col 15}1480{txt} missing values generated

{com}.                 label def diknowl 1 "Not Much" 2 "Avg. Amount" 3 "Great Deal"
{txt}
{com}.                 foreach var in disc1_knowl disc2_knowl disc3_knowl disc4_knowl {c -(}
{txt}  2{com}.                         label values `var' diknowl
{txt}  3{com}.                         tab `var'
{txt}  4{com}.                         {c )-}

  {txt}RECODE of {c |}
    V001709 {c |}
  (Z11. How {c |}
  much does {c |}
name 1 know {c |}
 about pol) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   Not Much {c |}{res}        104        9.09        9.09
{txt}Avg. Amount {c |}{res}        557       48.69       57.78
{txt} Great Deal {c |}{res}        483       42.22      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,144      100.00

  {txt}RECODE of {c |}
    V001717 {c |}
  (Z15. How {c |}
  much does {c |}
name 2 know {c |}
 about pol) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   Not Much {c |}{res}         94       10.97       10.97
{txt}Avg. Amount {c |}{res}        478       55.78       66.74
{txt} Great Deal {c |}{res}        285       33.26      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        857      100.00

  {txt}RECODE of {c |}
    V001725 {c |}
  (Z19. How {c |}
  much does {c |}
name 3 know {c |}
 about pol) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   Not Much {c |}{res}         69       12.59       12.59
{txt}Avg. Amount {c |}{res}        292       53.28       65.88
{txt} Great Deal {c |}{res}        187       34.12      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        548      100.00

  {txt}RECODE of {c |}
    V001733 {c |}
  (Z23. How {c |}
  much does {c |}
name 4 know {c |}
 about pol) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   Not Much {c |}{res}         42       12.84       12.84
{txt}Avg. Amount {c |}{res}        177       54.13       66.97
{txt} Great Deal {c |}{res}        108       33.03      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        327      100.00
{txt}
{com}.                         
.                 egen disc_knowl = rowmean(disc1_knowl disc2_knowl disc3_knowl disc4_knowl)
{txt}(660 missing values generated)

{com}.                 label var disc_knowl "Network Pol. Know."
{txt}
{com}.                 summ disc_knowl

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 2}disc_knowl {c |}{res}      1147    2.257338    .5115385          1          3
{txt}
{com}.                 
.                 summ disc_knowl 

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 2}disc_knowl {c |}{res}      1147    2.257338    .5115385          1          3
{txt}
{com}.                 gen disc_knowl01 = (disc_knowl - r(min))/(r(max)-r(min))
{txt}(660 missing values generated)

{com}.                 label var disc_knowl01 "Network Pol. Knowledge"
{txt}
{com}.                 
.                 *Disagreement Scale Weighted by Disc Knowl*
.                         *Agree/Weight
.                         gen a1k = d1_votea * disc1_knowl 
{txt}(987 missing values generated)

{com}.                         gen a2k = d2_votea * disc2_knowl 
{txt}(1189 missing values generated)

{com}.                         gen a3k = d3_votea * disc3_knowl 
{txt}(1407 missing values generated)

{com}.                         gen a4k = d4_votea * disc4_knowl 
{txt}(1574 missing values generated)

{com}.                         egen agree_knowl = rowtotal(a1k a2k a3k a4k), missing
{txt}(917 missing values generated)

{com}.                 
.                         *Disagree/Weight
.                         gen d1k = d1_voted * disc1_knowl 
{txt}(987 missing values generated)

{com}.                         gen d2k = d2_voted * disc2_knowl 
{txt}(1189 missing values generated)

{com}.                         gen d3k = d3_voted * disc3_knowl 
{txt}(1407 missing values generated)

{com}.                         gen d4k = d4_voted * disc4_knowl 
{txt}(1574 missing values generated)

{com}.                         egen dagree_knowl = rowtotal(d1k d2k d3k d4k), missing
{txt}(917 missing values generated)

{com}.                 
.                         *Scale
.                                 gen disagree_total_knowl = dagree_knowl - agree_knowl
{txt}(917 missing values generated)

{com}.                                 gen disagree_avg_knowl = disagree_total_knowl/(cand_disagree + cand_agree)
{txt}(917 missing values generated)

{com}.                                 label var disagree_total_knowl "Network Disagreement (Knowledge Weighted)"
{txt}
{com}.                                 label var disagree_avg_knowl "Network Disagreement (Knowledge Weighted)"
{txt}
{com}.                                 
.                                 foreach var in disagree_total_knowl disagree_avg_knowl {c -(}
{txt}  2{com}.                                         summ `var'
{txt}  3{com}.                                         gen `var'01 = (`var' - r(min))/(r(max)-r(min))
{txt}  4{com}.                                         {c )-}

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
disa~l_knowl {c |}{res}       890    -2.55618    3.974849        -12         12
{txt}(917 missing values generated)

    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
disagree_a~l {c |}{res}       890   -1.094382    1.717809         -3          3
{txt}(917 missing values generated)

{com}.                                 
.                                 label var disagree_total_knowl01 "Network Disagreement (Knowledge Weighted)"
{txt}
{com}.                                 label var disagree_avg_knowl01 "Network Disagreement (Knowledge Weighted)"
{txt}
{com}.                                 
. 
. 
. *Freq. of Discussion
.                 
.         *When you talk with [fill name 1], do you discuss political matters�often, sometimes, rarely, or never?*
.         *1 = often; 3 = sometimes 5 = rarely 7 = never
.                 foreach var in  V001708 V001716 V001724 V001732 {c -(}
{txt}  2{com}.                         tab `var'
{txt}  3{com}.                         {c )-}

{txt}Z10. How often does R discuss {c |}
                   politics w {c |}      Freq.     Percent        Cum.
{hline 30}{c +}{hline 35}
0. NA. INAP, 5, 8, 9, 0 in Z1 {c |}{res}        655       36.25       36.25
{txt}                     1. OFTEN {c |}{res}        354       19.59       55.84
{txt}                 3. SOMETIMES {c |}{res}        593       32.82       88.66
{txt}                    5. RARELY {c |}{res}        195       10.79       99.45
{txt}                     7. NEVER {c |}{res}          6        0.33       99.78
{txt}                        8. DK {c |}{res}          2        0.11       99.89
{txt}                        9. RF {c |}{res}          2        0.11      100.00
{txt}{hline 30}{c +}{hline 35}
                        Total {c |}{res}      1,807      100.00

{txt}Z14. How often does R discuss {c |}
                   politics w {c |}      Freq.     Percent        Cum.
{hline 30}{c +}{hline 35}
0. NA. INAP, 5, 8, 9, 0 in Z3 {c |}{res}        946       52.35       52.35
{txt}                     1. OFTEN {c |}{res}        186       10.29       62.65
{txt}                 3. SOMETIMES {c |}{res}        483       26.73       89.37
{txt}                    5. RARELY {c |}{res}        189       10.46       99.83
{txt}                     7. NEVER {c |}{res}          2        0.11       99.94
{txt}                        9. RF {c |}{res}          1        0.06      100.00
{txt}{hline 30}{c +}{hline 35}
                        Total {c |}{res}      1,807      100.00

{txt}Z18. How often does R discuss {c |}
                   politics w {c |}      Freq.     Percent        Cum.
{hline 30}{c +}{hline 35}
0. NA. INAP, 5, 8, 9, 0 in Z5 {c |}{res}      1,257       69.56       69.56
{txt}                     1. OFTEN {c |}{res}        104        5.76       75.32
{txt}                 3. SOMETIMES {c |}{res}        295       16.33       91.64
{txt}                5. RARELY, OR {c |}{res}        147        8.14       99.78
{txt}                     7. NEVER {c |}{res}          4        0.22      100.00
{txt}{hline 30}{c +}{hline 35}
                        Total {c |}{res}      1,807      100.00

{txt}Z22. How often does R discuss {c |}
                   politics w {c |}      Freq.     Percent        Cum.
{hline 30}{c +}{hline 35}
0. NA. INAP, 5, 8, 9, 0 in Z7 {c |}{res}      1,480       81.90       81.90
{txt}                     1. OFTEN {c |}{res}         58        3.21       85.11
{txt}                 3. SOMETIMES {c |}{res}        168        9.30       94.41
{txt}                5. RARELY, OR {c |}{res}         97        5.37       99.78
{txt}                     7. NEVER {c |}{res}          4        0.22      100.00
{txt}{hline 30}{c +}{hline 35}
                        Total {c |}{res}      1,807      100.00
{txt}
{com}.                 *only 4-6 people say 'never' - they are thus lumped in with 'rarely'
.                 recode V001708 (1=3) (3=2) (5=1) (7=1), gen(disc1_freq)
{txt}(1148 differences between V001708 and disc1_freq)

{com}.                 tab V001708 disc1_freq

{txt}Z10. How often does R {c |}   RECODE of V001708 (Z10. How often does R discuss politics w)
   discuss politics w {c |}         0          1          2          3          8          9 {c |}     Total
{hline 22}{c +}{hline 66}{c +}{hline 10}
0. NA. INAP, 5, 8, 9, {c |}{res}       655          0          0          0          0          0 {txt}{c |}{res}       655 
{txt}             1. OFTEN {c |}{res}         0          0          0        354          0          0 {txt}{c |}{res}       354 
{txt}         3. SOMETIMES {c |}{res}         0          0        593          0          0          0 {txt}{c |}{res}       593 
{txt}            5. RARELY {c |}{res}         0        195          0          0          0          0 {txt}{c |}{res}       195 
{txt}             7. NEVER {c |}{res}         0          6          0          0          0          0 {txt}{c |}{res}         6 
{txt}                8. DK {c |}{res}         0          0          0          0          2          0 {txt}{c |}{res}         2 
{txt}                9. RF {c |}{res}         0          0          0          0          0          2 {txt}{c |}{res}         2 
{txt}{hline 22}{c +}{hline 66}{c +}{hline 10}
                Total {c |}{res}       655        201        593        354          2          2 {txt}{c |}{res}     1,807 

{txt}
{com}.                 recode V001716 (1=3) (3=2) (5=1) (7=1), gen(disc2_freq)
{txt}(860 differences between V001716 and disc2_freq)

{com}.                 tab V001716 disc2_freq

                      {txt}{c |}    RECODE of V001716 (Z14. How often does R discuss
Z14. How often does R {c |}                      politics w)
   discuss politics w {c |}         0          1          2          3          9 {c |}     Total
{hline 22}{c +}{hline 55}{c +}{hline 10}
0. NA. INAP, 5, 8, 9, {c |}{res}       946          0          0          0          0 {txt}{c |}{res}       946 
{txt}             1. OFTEN {c |}{res}         0          0          0        186          0 {txt}{c |}{res}       186 
{txt}         3. SOMETIMES {c |}{res}         0          0        483          0          0 {txt}{c |}{res}       483 
{txt}            5. RARELY {c |}{res}         0        189          0          0          0 {txt}{c |}{res}       189 
{txt}             7. NEVER {c |}{res}         0          2          0          0          0 {txt}{c |}{res}         2 
{txt}                9. RF {c |}{res}         0          0          0          0          1 {txt}{c |}{res}         1 
{txt}{hline 22}{c +}{hline 55}{c +}{hline 10}
                Total {c |}{res}       946        191        483        186          1 {txt}{c |}{res}     1,807 

{txt}
{com}.                 
.                 recode V001724 (1=3) (3=2) (5=1) (7=1), gen(disc3_freq)
{txt}(550 differences between V001724 and disc3_freq)

{com}.                 tab V001724 disc3_freq

                      {txt}{c |}  RECODE of V001724 (Z18. How often does R
Z18. How often does R {c |}             discuss politics w)
   discuss politics w {c |}         0          1          2          3 {c |}     Total
{hline 22}{c +}{hline 44}{c +}{hline 10}
0. NA. INAP, 5, 8, 9, {c |}{res}     1,257          0          0          0 {txt}{c |}{res}     1,257 
{txt}             1. OFTEN {c |}{res}         0          0          0        104 {txt}{c |}{res}       104 
{txt}         3. SOMETIMES {c |}{res}         0          0        295          0 {txt}{c |}{res}       295 
{txt}        5. RARELY, OR {c |}{res}         0        147          0          0 {txt}{c |}{res}       147 
{txt}             7. NEVER {c |}{res}         0          4          0          0 {txt}{c |}{res}         4 
{txt}{hline 22}{c +}{hline 44}{c +}{hline 10}
                Total {c |}{res}     1,257        151        295        104 {txt}{c |}{res}     1,807 

{txt}
{com}.                 
.                 recode V001732 (1=3) (3=2) (5=1) (7=1), gen(disc4_freq)
{txt}(327 differences between V001732 and disc4_freq)

{com}.                 tab V001732 disc4_freq

                      {txt}{c |}  RECODE of V001732 (Z22. How often does R
Z22. How often does R {c |}             discuss politics w)
   discuss politics w {c |}         0          1          2          3 {c |}     Total
{hline 22}{c +}{hline 44}{c +}{hline 10}
0. NA. INAP, 5, 8, 9, {c |}{res}     1,480          0          0          0 {txt}{c |}{res}     1,480 
{txt}             1. OFTEN {c |}{res}         0          0          0         58 {txt}{c |}{res}        58 
{txt}         3. SOMETIMES {c |}{res}         0          0        168          0 {txt}{c |}{res}       168 
{txt}        5. RARELY, OR {c |}{res}         0         97          0          0 {txt}{c |}{res}        97 
{txt}             7. NEVER {c |}{res}         0          4          0          0 {txt}{c |}{res}         4 
{txt}{hline 22}{c +}{hline 44}{c +}{hline 10}
                Total {c |}{res}     1,480        101        168         58 {txt}{c |}{res}     1,807 

{txt}
{com}.                 
.                 mvdecode disc1_freq disc2_freq disc3_freq disc4_freq, mv(0 = .a \ 8 = .b \ 9 = .c)
  {txt}disc1_freq:{res}{col 15}659{txt} missing values generated
  disc2_freq:{res}{col 15}947{txt} missing values generated
  disc3_freq:{res}{col 15}1257{txt} missing values generated
  disc4_freq:{res}{col 15}1480{txt} missing values generated

{com}.                 
.                 label def freq 3 "Often" 2 "Sometimes" 1 "Rarely/Never"
{txt}
{com}.                         
.                 foreach var  in disc1_freq disc2_freq disc3_freq disc4_freq {c -(}
{txt}  2{com}.                         label values `var' freq
{txt}  3{com}.                         tab `var'
{txt}  4{com}.                         {c )-}

   {txt}RECODE of {c |}
     V001708 {c |}
   (Z10. How {c |}
often does R {c |}
     discuss {c |}
 politics w) {c |}      Freq.     Percent        Cum.
{hline 13}{c +}{hline 35}
Rarely/Never {c |}{res}        201       17.51       17.51
{txt}   Sometimes {c |}{res}        593       51.66       69.16
{txt}       Often {c |}{res}        354       30.84      100.00
{txt}{hline 13}{c +}{hline 35}
       Total {c |}{res}      1,148      100.00

   {txt}RECODE of {c |}
     V001716 {c |}
   (Z14. How {c |}
often does R {c |}
     discuss {c |}
 politics w) {c |}      Freq.     Percent        Cum.
{hline 13}{c +}{hline 35}
Rarely/Never {c |}{res}        191       22.21       22.21
{txt}   Sometimes {c |}{res}        483       56.16       78.37
{txt}       Often {c |}{res}        186       21.63      100.00
{txt}{hline 13}{c +}{hline 35}
       Total {c |}{res}        860      100.00

   {txt}RECODE of {c |}
     V001724 {c |}
   (Z18. How {c |}
often does R {c |}
     discuss {c |}
 politics w) {c |}      Freq.     Percent        Cum.
{hline 13}{c +}{hline 35}
Rarely/Never {c |}{res}        151       27.45       27.45
{txt}   Sometimes {c |}{res}        295       53.64       81.09
{txt}       Often {c |}{res}        104       18.91      100.00
{txt}{hline 13}{c +}{hline 35}
       Total {c |}{res}        550      100.00

   {txt}RECODE of {c |}
     V001732 {c |}
   (Z22. How {c |}
often does R {c |}
     discuss {c |}
 politics w) {c |}      Freq.     Percent        Cum.
{hline 13}{c +}{hline 35}
Rarely/Never {c |}{res}        101       30.89       30.89
{txt}   Sometimes {c |}{res}        168       51.38       82.26
{txt}       Often {c |}{res}         58       17.74      100.00
{txt}{hline 13}{c +}{hline 35}
       Total {c |}{res}        327      100.00
{txt}
{com}.                         
.                 egen disc_freq = rowmean(disc1_freq disc2_freq disc3_freq disc4_freq)
{txt}(659 missing values generated)

{com}.                 label var disc_freq "Avg. Freq of Political Discussion"
{txt}
{com}.                 
.                 summ disc_freq, detail

              {txt}Avg. Freq of Political Discussion
{hline 61}
      Percentiles      Smallest
 1%    {res}        1              1
{txt} 5%    {res}        1              1
{txt}10%    {res}        1              1       {txt}Obs         {res}       1148
{txt}25%    {res} 1.666667              1       {txt}Sum of Wgt. {res}       1148

{txt}50%    {res}        2                      {txt}Mean          {res} 2.021632
                        {txt}Largest       Std. Dev.     {res} .5758626
{txt}75%    {res}      2.5              3
{txt}90%    {res}        3              3       {txt}Variance      {res} .3316178
{txt}95%    {res}        3              3       {txt}Skewness      {res}-.0695684
{txt}99%    {res}        3              3       {txt}Kurtosis      {res} 2.444665
{txt}
{com}.                 
.                 *Weighted Scale of Exposure to Disagreement
.                 
.                         *Agree/Weight
.                         gen a1f = d1_votea * disc1_freq 
{txt}(985 missing values generated)

{com}.                         gen a2f = d2_votea * disc2_freq 
{txt}(1189 missing values generated)

{com}.                         gen a3f = d3_votea * disc3_freq 
{txt}(1407 missing values generated)

{com}.                         gen a4f = d4_votea * disc4_freq 
{txt}(1574 missing values generated)

{com}.                         egen agree_freq = rowtotal(a1f a2f a3f a4f), missing
{txt}(917 missing values generated)

{com}.                 
.                         *Disagree/Weight
.                         gen d1f = d1_voted * disc1_freq 
{txt}(985 missing values generated)

{com}.                         gen d2f = d2_voted * disc2_freq 
{txt}(1189 missing values generated)

{com}.                         gen d3f = d3_voted * disc3_freq 
{txt}(1407 missing values generated)

{com}.                         gen d4f = d4_voted * disc4_freq 
{txt}(1574 missing values generated)

{com}.                         egen dagree_freq = rowtotal(d1f d2f d3f d4f), missing
{txt}(917 missing values generated)

{com}.         
.                 *Scale
.                                 gen disagree_total_freq = dagree_freq - agree_freq
{txt}(917 missing values generated)

{com}.                                 gen disagree_avg_freq = disagree_total_freq/(cand_disagree + cand_agree)
{txt}(917 missing values generated)

{com}.                                 label var disagree_total_freq "Network Disagreement (Frequency Weighted)"
{txt}
{com}.                                 label var disagree_avg_freq "Network Disagreement (Frequency Weighted)"
{txt}
{com}.                                 
.                                 foreach var in disagree_total_freq disagree_avg_freq {c -(}
{txt}  2{com}.                                         summ `var'
{txt}  3{com}.                                         gen `var'01 = (`var' - r(min))/(r(max)-r(min))
{txt}  4{com}.                                         {c )-}

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
disagree_t~q {c |}{res}       890   -2.392135    3.617565        -12         10
{txt}(917 missing values generated)

    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
disagree_a~q {c |}{res}       890   -1.022753    1.574888         -3          3
{txt}(917 missing values generated)

{com}.                                 
.                                 label var disagree_total_freq01 "Network Disagreement (Frequency Weighted)"
{txt}
{com}.                                 label var disagree_avg_freq01 "Network Disagreement (Frequency Weighted)"
{txt}
{com}.                                 
.                                 
. *Campaign Interest and Caring About Election
.         
. recode  V000301 (1=3) (3=2) (5=1), gen(camp_int)
{txt}(1807 differences between V000301 and camp_int)

{com}. label var camp_int "Campaign Interest"
{txt}
{com}. 
. recode  V000302 (1=1) (3=0) (8=0), gen(cares)
{txt}(405 differences between V000302 and cares)

{com}. label var cares "Cares about Election"
{txt}
{com}. 
. 
. **Partisan Ambivalence**
. 
. mvdecode V000374 V000375 V000376 V000377 V000378 V000380 V000381 V000382 V000383 V000384 V000386 V000387 V000388 V000389 V000390 ///
>         V000392 V000393 V000394 V000395 V000396, mv(0=.)
     {txt}V000374:{res}{col 15}789{txt} missing values generated
     V000375:{res}{col 15}1184{txt} missing values generated
     V000376:{res}{col 15}1460{txt} missing values generated
     V000377:{res}{col 15}1635{txt} missing values generated
     V000378:{res}{col 15}1730{txt} missing values generated
     V000380:{res}{col 15}1025{txt} missing values generated
     V000381:{res}{col 15}1355{txt} missing values generated
     V000382:{res}{col 15}1583{txt} missing values generated
     V000383:{res}{col 15}1704{txt} missing values generated
     V000384:{res}{col 15}1758{txt} missing values generated
     V000386:{res}{col 15}999{txt} missing values generated
     V000387:{res}{col 15}1311{txt} missing values generated
     V000388:{res}{col 15}1535{txt} missing values generated
     V000389:{res}{col 15}1670{txt} missing values generated
     V000390:{res}{col 15}1748{txt} missing values generated
     V000392:{res}{col 15}892{txt} missing values generated
     V000393:{res}{col 15}1254{txt} missing values generated
     V000394:{res}{col 15}1530{txt} missing values generated
     V000395:{res}{col 15}1669{txt} missing values generated
     V000396:{res}{col 15}1744{txt} missing values generated

{com}. 
. 
. 
. gen dem_likes = . 
{txt}(1807 missing values generated)

{com}. replace dem_likes = 0 if V000373 == 5
{txt}(766 real changes made)

{com}. replace dem_likes = 0 if V000373 == 8
{txt}(20 real changes made)

{com}. replace dem_likes = 0 if V000373 == 9
{txt}(3 real changes made)

{com}. replace dem_likes = 1 if V000373 == 1 & V000374 !=. & V000375 == .
{txt}(395 real changes made)

{com}. replace dem_likes = 2 if V000373 == 1 & V000374 !=. & V000375 !=. & V000376 ==. 
{txt}(276 real changes made)

{com}. replace dem_likes = 3 if V000373 == 1 & V000374 !=. & V000375 !=. & V000376 !=. & V000377 ==. 
{txt}(175 real changes made)

{com}. replace dem_likes = 4 if V000373 == 1 & V000374 !=. & V000375 !=. & V000376 !=. & V000377 !=. & V000378 ==.
{txt}(95 real changes made)

{com}. replace dem_likes = 5 if V000373 == 1 &  V000374 !=. & V000375 !=. & V000376 !=. & V000377 !=.  & V000378 !=.
{txt}(77 real changes made)

{com}. 
. 
. 
. gen dem_dislikes = .
{txt}(1807 missing values generated)

{com}. replace dem_dislikes = 0 if V000379 == 5
{txt}(996 real changes made)

{com}. replace dem_dislikes = 0 if V000379 == 8
{txt}(25 real changes made)

{com}. replace dem_dislikes = 0 if V000379 == 9
{txt}(4 real changes made)

{com}. replace dem_dislikes = 1 if V000379 == 1 & V000380 !=. & V000381 == .
{txt}(330 real changes made)

{com}. replace dem_dislikes = 2 if V000379 == 1 & V000380 !=. & V000381 !=. & V000382 ==. 
{txt}(228 real changes made)

{com}. replace dem_dislikes = 3 if V000379 == 1 & V000380 !=. & V000381 !=. & V000382 !=. & V000383 ==. 
{txt}(121 real changes made)

{com}. replace dem_dislikes = 4 if V000379 == 1 & V000380 !=. & V000381 !=. & V000382 !=. & V000383 !=. & V000384 ==.
{txt}(54 real changes made)

{com}. replace dem_dislikes = 5 if V000379 == 1 &  V000380 !=. & V000381 !=. & V000382 !=. & V000383 !=.  & V000384 !=.
{txt}(49 real changes made)

{com}. 
. 
. 
. gen rep_likes = .
{txt}(1807 missing values generated)

{com}. replace rep_likes = 0 if V000385 == 5
{txt}(975 real changes made)

{com}. replace rep_likes = 0 if V000385 == 8
{txt}(20 real changes made)

{com}. replace rep_likes = 0 if V000385 == 9
{txt}(4 real changes made)

{com}. replace rep_likes = 1 if V000385 == 1 & V000386 !=. & V000387 == .
{txt}(312 real changes made)

{com}. replace rep_likes = 2 if V000385 == 1 & V000386 !=. & V000387 !=. & V000388 ==. 
{txt}(224 real changes made)

{com}. replace rep_likes = 3 if V000385 == 1 & V000386 !=. & V000387 !=. & V000388 !=. & V000389 ==. 
{txt}(135 real changes made)

{com}. replace rep_likes = 4 if V000385 == 1 & V000386 !=. & V000387 !=. & V000388 !=. & V000389 !=. & V000390 ==.
{txt}(78 real changes made)

{com}. replace rep_likes = 5 if V000385 == 1 &  V000386 !=. & V000387 !=. & V000388 !=. & V000389 !=.  & V000390 !=.
{txt}(59 real changes made)

{com}. 
. 
. gen rep_dislikes = .
{txt}(1807 missing values generated)

{com}. replace rep_dislikes = 0 if V000391 == 5
{txt}(867 real changes made)

{com}. replace rep_dislikes = 0 if V000391 == 8
{txt}(21 real changes made)

{com}. replace rep_dislikes = 0 if V000391 == 9
{txt}(4 real changes made)

{com}. replace rep_dislikes = 1 if V000391 == 1 & V000392 !=. & V000393 == .
{txt}(362 real changes made)

{com}. replace rep_dislikes = 2 if V000391 == 1 & V000392 !=. & V000393 !=. & V000394 ==. 
{txt}(276 real changes made)

{com}. replace rep_dislikes = 3 if V000391 == 1 & V000392 !=. & V000393 !=. & V000394 !=. & V000327 ==. 
{txt}(0 real changes made)

{com}. replace rep_dislikes = 4 if V000391 == 1 & V000392 !=. & V000393 !=. & V000394 !=. & V000327 !=. & V000396 ==.
{txt}(214 real changes made)

{com}. replace rep_dislikes = 5 if V000391 == 1 &  V000392 !=. & V000393 !=. & V000394 !=. & V000327 !=.  & V000396 !=.
{txt}(63 real changes made)

{com}. 
. 
.         *ID Consistent
.                 gen consistent = . 
{txt}(1807 missing values generated)

{com}.                 replace consistent = dem_likes + rep_dislikes if pid_2  == 1
{txt}(889 real changes made)

{com}.                 replace consistent = dem_dislikes + rep_likes if pid_2  == 0
{txt}(681 real changes made)

{com}.                 label var consistent "Partisan Identity Consistent Likes/Dislikes"
{txt}
{com}. 
.         *ID Conflicting
.                 gen conflicting = . 
{txt}(1807 missing values generated)

{com}.                 replace conflicting = dem_dislikes + rep_likes if pid_2  == 1
{txt}(889 real changes made)

{com}.                 replace conflicting = dem_likes + rep_dislikes if pid_2  == 0
{txt}(681 real changes made)

{com}.                 label var conflicting "Partisan Identity Conclifting Likes/Dislikes"
{txt}
{com}. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. **Candidate Ambivalence (pre-election)
. 
. mvdecode V000306 V000307 V000308 V000309 V000310, mv(0=.)
     {txt}V000306:{res}{col 15}895{txt} missing values generated
     V000307:{res}{col 15}1200{txt} missing values generated
     V000308:{res}{col 15}1420{txt} missing values generated
     V000309:{res}{col 15}1588{txt} missing values generated
     V000310:{res}{col 15}1692{txt} missing values generated

{com}. mvdecode V000312 V000313 V000314 V000315 V000316 V000318 V000319 V000320  ///
>         V000321 V000322 V000324 V000325 V000326 V000327 V000328, mv(0=.)
     {txt}V000312:{res}{col 15}947{txt} missing values generated
     V000313:{res}{col 15}1278{txt} missing values generated
     V000314:{res}{col 15}1522{txt} missing values generated
     V000315:{res}{col 15}1669{txt} missing values generated
     V000316:{res}{col 15}1742{txt} missing values generated
     V000318:{res}{col 15}985{txt} missing values generated
     V000319:{res}{col 15}1264{txt} missing values generated
     V000320:{res}{col 15}1503{txt} missing values generated
     V000321:{res}{col 15}1638{txt} missing values generated
     V000322:{res}{col 15}1713{txt} missing values generated
     V000324:{res}{col 15}922{txt} missing values generated
     V000325:{res}{col 15}1255{txt} missing values generated
     V000326:{res}{col 15}1491{txt} missing values generated
     V000327:{res}{col 15}1641{txt} missing values generated
     V000328:{res}{col 15}1719{txt} missing values generated

{com}. 
. gen gore_likes = . 
{txt}(1807 missing values generated)

{com}. replace gore_likes = 0 if V000305 == 5
{txt}(878 real changes made)

{com}. replace gore_likes = 0 if V000305 == 8
{txt}(13 real changes made)

{com}. replace gore_likes = 0 if V000305 == 9
{txt}(4 real changes made)

{com}. replace gore_likes = 1 if V000305 == 1 & V000306 !=. & V000307 == .
{txt}(305 real changes made)

{com}. replace gore_likes = 2 if V000305 == 1 & V000306 !=. & V000307 !=. & V000308 ==. 
{txt}(220 real changes made)

{com}. replace gore_likes = 3 if V000305 == 1 & V000306 !=. & V000307 !=. & V000308 !=. & V000309 ==. 
{txt}(168 real changes made)

{com}. replace gore_likes = 4 if V000305 == 1 & V000306 !=. & V000307 !=. & V000308 !=. & V000309 !=. & V000310 ==.
{txt}(104 real changes made)

{com}. replace gore_likes = 5 if V000305 == 1 &  V000306 !=. & V000307 !=. & V000308 !=. & V000309 !=.  & V000310 !=.
{txt}(115 real changes made)

{com}. 
. 
. 
. gen gore_dislikes = .
{txt}(1807 missing values generated)

{com}. replace gore_dislikes = 0 if V000311 == 5
{txt}(934 real changes made)

{com}. replace gore_dislikes = 0 if V000311 == 8
{txt}(10 real changes made)

{com}. replace gore_dislikes = 0 if V000311 == 9
{txt}(3 real changes made)

{com}. replace gore_dislikes = 1 if V000311 == 1 & V000312 !=. & V000313 == .
{txt}(331 real changes made)

{com}. replace gore_dislikes = 2 if V000311 == 1 & V000312 !=. & V000313 !=. & V000314 ==. 
{txt}(244 real changes made)

{com}. replace gore_dislikes = 3 if V000311 == 1 & V000312 !=. & V000313 !=. & V000314 !=. & V000315 ==. 
{txt}(147 real changes made)

{com}. replace gore_dislikes = 4 if V000311 == 1 & V000312 !=. & V000313 !=. & V000314 !=. & V000315 !=. & V000316 ==.
{txt}(73 real changes made)

{com}. replace gore_dislikes = 5 if V000311 == 1 &  V000312 !=. & V000313 !=. & V000314 !=. & V000315 !=.  & V000316 !=.
{txt}(65 real changes made)

{com}. 
. 
. 
. gen bush_likes = .
{txt}(1807 missing values generated)

{com}. replace bush_likes = 0 if V000317 == 5
{txt}(970 real changes made)

{com}. replace bush_likes = 0 if V000317 == 8
{txt}(13 real changes made)

{com}. replace bush_likes = 0 if V000317 == 9
{txt}(2 real changes made)

{com}. replace bush_likes = 1 if V000317 == 1 & V000318 !=. & V000319 == .
{txt}(279 real changes made)

{com}. replace bush_likes = 2 if V000317 == 1 & V000318 !=. & V000319 !=. & V000320 ==. 
{txt}(239 real changes made)

{com}. replace bush_likes = 3 if V000317 == 1 & V000318 !=. & V000319 !=. & V000320 !=. & V000321 ==. 
{txt}(135 real changes made)

{com}. replace bush_likes = 4 if V000317 == 1 & V000318 !=. & V000319 !=. & V000320 !=. & V000321 !=. & V000322 ==.
{txt}(75 real changes made)

{com}. replace bush_likes = 5 if V000317 == 1 &  V000318 !=. & V000319 !=. & V000320 !=. & V000321 !=.  & V000322 !=.
{txt}(94 real changes made)

{com}. 
. 
. gen bush_dislikes = .
{txt}(1807 missing values generated)

{com}. replace bush_dislikes = 0 if V000323 == 5
{txt}(899 real changes made)

{com}. replace bush_dislikes = 0 if V000323 == 8
{txt}(20 real changes made)

{com}. replace bush_dislikes = 0 if V000323 == 9
{txt}(3 real changes made)

{com}. replace bush_dislikes = 1 if V000323 == 1 & V000324 !=. & V000325 == .
{txt}(333 real changes made)

{com}. replace bush_dislikes = 2 if V000323 == 1 & V000324 !=. & V000325 !=. & V000326 ==. 
{txt}(236 real changes made)

{com}. replace bush_dislikes = 3 if V000323 == 1 & V000324 !=. & V000325 !=. & V000326 !=. & V000327 ==. 
{txt}(150 real changes made)

{com}. replace bush_dislikes = 4 if V000323 == 1 & V000324 !=. & V000325 !=. & V000326 !=. & V000327 !=. & V000328 ==.
{txt}(78 real changes made)

{com}. replace bush_dislikes = 5 if V000323 == 1 &  V000324 !=. & V000325 !=. & V000326 !=. & V000327 !=.  & V000328 !=.
{txt}(88 real changes made)

{com}. 
. 
.         
.                         
. **Variables for Matching
. recode race (1=0) (2=1) (3=0), gen(black)
{txt}(1788 differences between race and black)

{com}. tabulate pid_str, gen(pstr_)

   {txt}PID Str. {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
     Leaner {c |}{res}        499       31.78       31.78
{txt}       Weak {c |}{res}        489       31.15       62.93
{txt}     Strong {c |}{res}        582       37.07      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,570      100.00
{txt}
{com}. tabulate camp_int, gen(cint_)

   {txt}Campaign {c |}
   Interest {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        396       21.91       21.91
{txt}          2 {c |}{res}        886       49.03       70.95
{txt}          3 {c |}{res}        525       29.05      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,807      100.00
{txt}
{com}. 
. 
. /*********Cognitive Style*/
. 
. recode V000862 (0=.) (8=.) (1=4) (2=3) (3=2) (4=1) (9=.), gen(opinionated)
{txt}(1807 differences between V000862 and opinionated)

{com}. recode V000866 (0 8 9 = .) , gen(opinion_degree)
{txt}(36 differences between V000866 and opinion_degree)

{com}. 
. foreach var in opinionated opinion_degree {c -(}
{txt}  2{com}.         summ `var'
{txt}  3{com}.         gen `var'01 = (`var' - r(min))/(r(max)-r(min))
{txt}  4{com}.         {c )-}

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 1}opinionated {c |}{res}      1798    2.670189      .86399          1          4
{txt}(9 missing values generated)

    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
opinion_de~e {c |}{res}      1771    3.288538    .9488492          1          5
{txt}(36 missing values generated)

{com}. 
. egen evaluate1 = rowtotal(opinionated01 opinion_degree01), missing
{txt}(7 missing values generated)

{com}. 
.         
. recode V000871 (0 8 9 =.) (1=0) (5=1) , gen(complex)
{txt}(1807 differences between V000871 and complex)

{com}. recode V000870 (0 8 = .) (5=0) (4=0.25) (3=0.50) (2=0.75) (1=1), gen(thinking)
{txt}(1100 differences between V000870 and thinking)

{com}. 
. egen nfc1 = rowtotal(complex thinking), missing
{txt}(5 missing values generated)

{com}.         
. 
{txt}end of do-file

{com}. set more off
{txt}
{com}. 
. 
. /*****************
> Analyses: 
> Two models are run: (1) one without the interaction and (2) one with. 
> After the models we estimate the marginal difference between partisans
> for both models. 
> *****************/
. 
. eststo clear
{txt}
{com}. eststo: logit def_knowl i.partisan c.disagree_total names1 disc_knowl interest i.gender i.race ///
>         i.marital age educ income nfc1 evaluate1 [pweight = V000002a]

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-185.21815}  
Iteration 1:{space 3}log pseudolikelihood = {res:-152.22896}  
Iteration 2:{space 3}log pseudolikelihood = {res:-149.86082}  
Iteration 3:{space 3}log pseudolikelihood = {res:-149.84872}  
Iteration 4:{space 3}log pseudolikelihood = {res:-149.84872}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       354
{txt}{col 51}Wald chi2({res}14{txt}){col 67}= {res}     50.16
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-149.84872{txt}{col 51}Pseudo R2{col 67}= {res}    0.1910

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}     def_knowl{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}partisan {c |}
{space 2}In-Partisan  {c |}{col 16}{res}{space 2} 1.411629{col 28}{space 2}  .313837{col 39}{space 1}    4.50{col 48}{space 3}0.000{col 56}{space 4}   .79652{col 69}{space 3} 2.026738
{txt}disagree_total {c |}{col 16}{res}{space 2}  .226775{col 28}{space 2} .1043329{col 39}{space 1}    2.17{col 48}{space 3}0.030{col 56}{space 4} .0222862{col 69}{space 3} .4312637
{txt}{space 8}names1 {c |}{col 16}{res}{space 2}-.0336773{col 28}{space 2} .1469212{col 39}{space 1}   -0.23{col 48}{space 3}0.819{col 56}{space 4}-.3216375{col 69}{space 3}  .254283
{txt}{space 4}disc_knowl {c |}{col 16}{res}{space 2}-.8875843{col 28}{space 2} .4002012{col 39}{space 1}   -2.22{col 48}{space 3}0.027{col 56}{space 4}-1.671964{col 69}{space 3}-.1032043
{txt}{space 6}interest {c |}{col 16}{res}{space 2} .4102091{col 28}{space 2} .2276787{col 39}{space 1}    1.80{col 48}{space 3}0.072{col 56}{space 4} -.036033{col 69}{space 3} .8564513
{txt}{space 14} {c |}
{space 8}gender {c |}
{space 7}Female  {c |}{col 16}{res}{space 2} .2568588{col 28}{space 2} .3346986{col 39}{space 1}    0.77{col 48}{space 3}0.443{col 56}{space 4}-.3991385{col 69}{space 3}  .912856
{txt}{space 14} {c |}
{space 10}race {c |}
{space 8}Black  {c |}{col 16}{res}{space 2}-.6560018{col 28}{space 2} .6454099{col 39}{space 1}   -1.02{col 48}{space 3}0.309{col 56}{space 4}-1.920982{col 69}{space 3} .6089783
{txt}{space 8}Other  {c |}{col 16}{res}{space 2}-1.037558{col 28}{space 2} .4697157{col 39}{space 1}   -2.21{col 48}{space 3}0.027{col 56}{space 4}-1.958183{col 69}{space 3}-.1169318
{txt}{space 14} {c |}
{space 7}marital {c |}
{space 6}Married  {c |}{col 16}{res}{space 2}  -.39621{col 28}{space 2} .3625436{col 39}{space 1}   -1.09{col 48}{space 3}0.274{col 56}{space 4}-1.106782{col 69}{space 3} .3143624
{txt}{space 11}age {c |}{col 16}{res}{space 2}-.0072898{col 28}{space 2} .0102921{col 39}{space 1}   -0.71{col 48}{space 3}0.479{col 56}{space 4}-.0274619{col 69}{space 3} .0128823
{txt}{space 10}educ {c |}{col 16}{res}{space 2} .4050189{col 28}{space 2} .1976161{col 39}{space 1}    2.05{col 48}{space 3}0.040{col 56}{space 4} .0176984{col 69}{space 3} .7923394
{txt}{space 8}income {c |}{col 16}{res}{space 2} .1818929{col 28}{space 2} .0612903{col 39}{space 1}    2.97{col 48}{space 3}0.003{col 56}{space 4} .0617661{col 69}{space 3} .3020197
{txt}{space 10}nfc1 {c |}{col 16}{res}{space 2} .7032786{col 28}{space 2} .2558894{col 39}{space 1}    2.75{col 48}{space 3}0.006{col 56}{space 4} .2017447{col 69}{space 3} 1.204813
{txt}{space 5}evaluate1 {c |}{col 16}{res}{space 2}-.3052132{col 28}{space 2} .3770258{col 39}{space 1}   -0.81{col 48}{space 3}0.418{col 56}{space 4} -1.04417{col 69}{space 3} .4337437
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-.7841835{col 28}{space 2} 1.161291{col 39}{space 1}   -0.68{col 48}{space 3}0.500{col 56}{space 4}-3.060271{col 69}{space 3} 1.491904
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)

{com}.         
.         margins, dydx(partisan)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       354
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(def_knowl), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.partisan}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}partisan {c |}
In-Partisan  {c |}{col 14}{res}{space 2} .2220977{col 26}{space 2} .0475031{col 37}{space 1}    4.68{col 46}{space 3}0.000{col 54}{space 4} .1289933{col 67}{space 3}  .315202
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}.         margins partisan
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       354
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(def_knowl), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27} Delta-method
{col 15}{c |}     Margin{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}partisan {c |}
Out-Partisan  {c |}{col 15}{res}{space 2} .5992779{col 27}{space 2} .0396824{col 38}{space 1}   15.10{col 47}{space 3}0.000{col 55}{space 4} .5215017{col 68}{space 3}  .677054
{txt}{space 1}In-Partisan  {c |}{col 15}{res}{space 2} .8213755{col 27}{space 2} .0259128{col 38}{space 1}   31.70{col 47}{space 3}0.000{col 55}{space 4} .7705874{col 68}{space 3} .8721637
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
. eststo: logit def_knowl i.partisan##c.disagree_total names1 disc_knowl interest i.gender i.race ///
>         i.marital age educ income nfc1 evaluate1 [pweight = V000002a]

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-185.21815}  
Iteration 1:{space 3}log pseudolikelihood = {res:-152.20928}  
Iteration 2:{space 3}log pseudolikelihood = {res:-149.76191}  
Iteration 3:{space 3}log pseudolikelihood = {res:-149.74767}  
Iteration 4:{space 3}log pseudolikelihood = {res:-149.74766}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       354
{txt}{col 51}Wald chi2({res}15{txt}){col 67}= {res}     51.23
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-149.74766{txt}{col 51}Pseudo R2{col 67}= {res}    0.1915

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                def_knowl{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}partisan {c |}
{space 13}In-Partisan  {c |}{col 27}{res}{space 2} 1.526562{col 39}{space 2} .4172933{col 50}{space 1}    3.66{col 59}{space 3}0.000{col 67}{space 4} .7086822{col 80}{space 3} 2.344442
{txt}{space 11}disagree_total {c |}{col 27}{res}{space 2} .1843461{col 39}{space 2} .1422974{col 50}{space 1}    1.30{col 59}{space 3}0.195{col 67}{space 4}-.0945517{col 80}{space 3} .4632438
{txt}{space 25} {c |}
partisan#c.disagree_total {c |}
{space 13}In-Partisan  {c |}{col 27}{res}{space 2} .0847402{col 39}{space 2} .2039209{col 50}{space 1}    0.42{col 59}{space 3}0.678{col 67}{space 4}-.3149374{col 80}{space 3} .4844178
{txt}{space 25} {c |}
{space 19}names1 {c |}{col 27}{res}{space 2}-.0342444{col 39}{space 2} .1474544{col 50}{space 1}   -0.23{col 59}{space 3}0.816{col 67}{space 4}-.3232497{col 80}{space 3} .2547609
{txt}{space 15}disc_knowl {c |}{col 27}{res}{space 2}-.8825592{col 39}{space 2} .4002266{col 50}{space 1}   -2.21{col 59}{space 3}0.027{col 67}{space 4}-1.666989{col 80}{space 3}-.0981295
{txt}{space 17}interest {c |}{col 27}{res}{space 2} .4083001{col 39}{space 2}  .228466{col 50}{space 1}    1.79{col 59}{space 3}0.074{col 67}{space 4}-.0394851{col 80}{space 3} .8560852
{txt}{space 25} {c |}
{space 19}gender {c |}
{space 18}Female  {c |}{col 27}{res}{space 2} .2670814{col 39}{space 2} .3316514{col 50}{space 1}    0.81{col 59}{space 3}0.421{col 67}{space 4}-.3829434{col 80}{space 3} .9171062
{txt}{space 25} {c |}
{space 21}race {c |}
{space 19}Black  {c |}{col 27}{res}{space 2} -.667445{col 39}{space 2} .6470999{col 50}{space 1}   -1.03{col 59}{space 3}0.302{col 67}{space 4}-1.935737{col 80}{space 3} .6008475
{txt}{space 19}Other  {c |}{col 27}{res}{space 2}-1.020683{col 39}{space 2}  .473092{col 50}{space 1}   -2.16{col 59}{space 3}0.031{col 67}{space 4}-1.947926{col 80}{space 3}-.0934394
{txt}{space 25} {c |}
{space 18}marital {c |}
{space 17}Married  {c |}{col 27}{res}{space 2}-.4014397{col 39}{space 2}   .36276{col 50}{space 1}   -1.11{col 59}{space 3}0.268{col 67}{space 4}-1.112436{col 80}{space 3} .3095569
{txt}{space 22}age {c |}{col 27}{res}{space 2}-.0069177{col 39}{space 2} .0104119{col 50}{space 1}   -0.66{col 59}{space 3}0.506{col 67}{space 4}-.0273247{col 80}{space 3} .0134893
{txt}{space 21}educ {c |}{col 27}{res}{space 2} .4133497{col 39}{space 2} .2003964{col 50}{space 1}    2.06{col 59}{space 3}0.039{col 67}{space 4}   .02058{col 80}{space 3} .8061194
{txt}{space 19}income {c |}{col 27}{res}{space 2} .1823773{col 39}{space 2} .0613934{col 50}{space 1}    2.97{col 59}{space 3}0.003{col 67}{space 4} .0620485{col 80}{space 3} .3027061
{txt}{space 21}nfc1 {c |}{col 27}{res}{space 2} .6941822{col 39}{space 2}  .257379{col 50}{space 1}    2.70{col 59}{space 3}0.007{col 67}{space 4} .1897287{col 80}{space 3} 1.198636
{txt}{space 16}evaluate1 {c |}{col 27}{res}{space 2} -.307319{col 39}{space 2} .3806711{col 50}{space 1}   -0.81{col 59}{space 3}0.419{col 67}{space 4}-1.053421{col 80}{space 3} .4387826
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-.8843644{col 39}{space 2} 1.180354{col 50}{space 1}   -0.75{col 59}{space 3}0.454{col 67}{space 4}-3.197816{col 80}{space 3} 1.429087
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}.                 
.                 margins, dydx(disagree_total) by(partisan)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}       354
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(def_knowl), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:disagree_total}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:partisan}{p_end}
{p2colreset}{...}

{res}{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28} Delta-method
{col 16}{c |}      dy/dx{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}disagree_total {txt}{c |}
{space 6}partisan {c |}
{space 1}Out-Partisan  {c |}{col 16}{res}{space 2} .0333215{col 28}{space 2} .0251235{col 39}{space 1}    1.33{col 48}{space 3}0.185{col 56}{space 4}-.0159197{col 69}{space 3} .0825627
{txt}{space 2}In-Partisan  {c |}{col 16}{res}{space 2} .0361883{col 28}{space 2} .0199493{col 39}{space 1}    1.81{col 48}{space 3}0.070{col 56}{space 4}-.0029117{col 69}{space 3} .0752882
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 summ disagree_total, detail

                    {txt}Network Disagreement
{hline 61}
      Percentiles      Smallest
 1%    {res}       -4             -4
{txt} 5%    {res}       -4             -4
{txt}10%    {res}       -3             -4       {txt}Obs         {res}        890
{txt}25%    {res}       -2             -4       {txt}Sum of Wgt. {res}        890

{txt}50%    {res}       -1                      {txt}Mean          {res}-1.050562
                        {txt}Largest       Std. Dev.     {res} 1.631635
{txt}75%    {res}        0              4
{txt}90%    {res}        1              4       {txt}Variance      {res} 2.662233
{txt}95%    {res}        2              4       {txt}Skewness      {res} .3130263
{txt}99%    {res}        3              4       {txt}Kurtosis      {res} 2.863348
{txt}
{com}.                         *5% = -4; 95% = 2
.                 margins partisan, at(disagree_total=(-4 2))
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       354
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(def_knowl), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:disagree_~al}{space 4}{txt:=} {space 9}-4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:disagree_~al}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{res}{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29} Delta-method
{col 17}{c |}     Margin{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}_at#partisan {c |}
1#Out-Partisan  {c |}{col 17}{res}{space 2} .4986978{col 29}{space 2} .0804299{col 40}{space 1}    6.20{col 49}{space 3}0.000{col 57}{space 4} .3410581{col 70}{space 3} .6563374
{txt}{space 1}1#In-Partisan  {c |}{col 17}{res}{space 2} .7142247{col 29}{space 2} .0751372{col 40}{space 1}    9.51{col 49}{space 3}0.000{col 57}{space 4} .5669584{col 70}{space 3}  .861491
{txt}2#Out-Partisan  {c |}{col 17}{res}{space 2} .7008188{col 29}{space 2} .0874515{col 40}{space 1}    8.01{col 49}{space 3}0.000{col 57}{space 4} .5294171{col 70}{space 3} .8722205
{txt}{space 1}2#In-Partisan  {c |}{col 17}{res}{space 2} .9070267{col 29}{space 2} .0400356{col 40}{space 1}   22.66{col 49}{space 3}0.000{col 57}{space 4} .8285583{col 70}{space 3}  .985495
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.                 margins partisan, at(disagree_total=(-4(1)4)) 
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}       354
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(def_knowl), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:disagree_~al}{space 4}{txt:=} {space 9}-4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:disagree_~al}{space 4}{txt:=} {space 9}-3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:disagree_~al}{space 4}{txt:=} {space 9}-2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:disagree_~al}{space 4}{txt:=} {space 9}-1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:disagree_~al}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:disagree_~al}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:disagree_~al}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:disagree_~al}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:disagree_~al}{space 4}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{res}{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29} Delta-method
{col 17}{c |}     Margin{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}_at#partisan {c |}
1#Out-Partisan  {c |}{col 17}{res}{space 2} .4986978{col 29}{space 2} .0804299{col 40}{space 1}    6.20{col 49}{space 3}0.000{col 57}{space 4} .3410581{col 70}{space 3} .6563374
{txt}{space 1}1#In-Partisan  {c |}{col 17}{res}{space 2} .7142247{col 29}{space 2} .0751372{col 40}{space 1}    9.51{col 49}{space 3}0.000{col 57}{space 4} .5669584{col 70}{space 3}  .861491
{txt}2#Out-Partisan  {c |}{col 17}{res}{space 2} .5338388{col 29}{space 2}  .058792{col 40}{space 1}    9.08{col 49}{space 3}0.000{col 57}{space 4} .4186087{col 70}{space 3}  .649069
{txt}{space 1}2#In-Partisan  {c |}{col 17}{res}{space 2} .7562414{col 29}{space 2} .0502133{col 40}{space 1}   15.06{col 49}{space 3}0.000{col 57}{space 4} .6578252{col 70}{space 3} .8546577
{txt}3#Out-Partisan  {c |}{col 17}{res}{space 2} .5687675{col 29}{space 2} .0431793{col 40}{space 1}   13.17{col 49}{space 3}0.000{col 57}{space 4} .4841375{col 70}{space 3} .6533975
{txt}{space 1}3#In-Partisan  {c |}{col 17}{res}{space 2} .7945087{col 29}{space 2} .0322697{col 40}{space 1}   24.62{col 49}{space 3}0.000{col 57}{space 4} .7312613{col 70}{space 3} .8577562
{txt}4#Out-Partisan  {c |}{col 17}{res}{space 2} .6031965{col 29}{space 2} .0410286{col 40}{space 1}   14.70{col 49}{space 3}0.000{col 57}{space 4}  .522782{col 70}{space 3}  .683611
{txt}{space 1}4#In-Partisan  {c |}{col 17}{res}{space 2} .8287488{col 29}{space 2} .0257503{col 40}{space 1}   32.18{col 49}{space 3}0.000{col 57}{space 4} .7782792{col 70}{space 3} .8792184
{txt}5#Out-Partisan  {c |}{col 17}{res}{space 2} .6368494{col 29}{space 2} .0526261{col 40}{space 1}   12.10{col 49}{space 3}0.000{col 57}{space 4} .5337041{col 70}{space 3} .7399948
{txt}{space 1}5#In-Partisan  {c |}{col 17}{res}{space 2} .8588563{col 29}{space 2} .0295183{col 40}{space 1}   29.10{col 49}{space 3}0.000{col 57}{space 4} .8010014{col 70}{space 3} .9167112
{txt}6#Out-Partisan  {c |}{col 17}{res}{space 2} .6694682{col 29}{space 2} .0697708{col 40}{space 1}    9.60{col 49}{space 3}0.000{col 57}{space 4} .5327199{col 70}{space 3} .8062165
{txt}{space 1}6#In-Partisan  {c |}{col 17}{res}{space 2} .8848855{col 29}{space 2} .0355994{col 40}{space 1}   24.86{col 49}{space 3}0.000{col 57}{space 4}  .815112{col 70}{space 3}  .954659
{txt}7#Out-Partisan  {c |}{col 17}{res}{space 2} .7008188{col 29}{space 2} .0874515{col 40}{space 1}    8.01{col 49}{space 3}0.000{col 57}{space 4} .5294171{col 70}{space 3} .8722205
{txt}{space 1}7#In-Partisan  {c |}{col 17}{res}{space 2} .9070267{col 29}{space 2} .0400356{col 40}{space 1}   22.66{col 49}{space 3}0.000{col 57}{space 4} .8285583{col 70}{space 3}  .985495
{txt}8#Out-Partisan  {c |}{col 17}{res}{space 2} .7306975{col 29}{space 2} .1036547{col 40}{space 1}    7.05{col 49}{space 3}0.000{col 57}{space 4}  .527538{col 70}{space 3}  .933857
{txt}{space 1}8#In-Partisan  {c |}{col 17}{res}{space 2} .9255747{col 29}{space 2} .0420484{col 40}{space 1}   22.01{col 49}{space 3}0.000{col 57}{space 4} .8431613{col 70}{space 3} 1.007988
{txt}9#Out-Partisan  {c |}{col 17}{res}{space 2} .7589343{col 29}{space 2} .1174835{col 40}{space 1}    6.46{col 49}{space 3}0.000{col 57}{space 4}  .528671{col 70}{space 3} .9891977
{txt}{space 1}9#In-Partisan  {c |}{col 17}{res}{space 2} .9408946{col 29}{space 2} .0418592{col 40}{space 1}   22.48{col 49}{space 3}0.000{col 57}{space 4} .8588522{col 70}{space 3} 1.022937
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.                 marginsplot, scheme(s1mono) xline(-4, lpattern(dot)) xline(2, lpattern(dot)) title(" " "2000 ANES", size(medium)) ///
>                         ytitle("Pr(Correct)") xtitle("Disagreement") ylabel(0(0.20)1) ///
>                         text(0.1 -2.8 "In: b=0.04, z=1.81" ///
>                         0.01 -2.8 "Out: b=0.03, z=1.33", just(right) size(small))

{text}{p 2 6 2}Variables that uniquely identify margins: disagree_total partisan{p_end}
{res}{txt}
{com}.                                 
.                 graph save "2000 - Knowledge", replace
{res}{txt}(file 2000 - Knowledge.gph saved)

{com}. 
. 
. /****************************************
> *****************************************
>                 2008 ANES Panel
> *****************************************
> ****************************************/
. 
. /*Data Cleaning*/
. clear
{txt}
{com}. do "Data Cleaning - 2008 Panel.do" 
{txt}
{com}. **********************************************************************
. **********************************************************************
. ***********************2008-9 ANES Panel Survey***********************
. **********************************************************************
. **********************************************************************
. **********************************************************************
. 
. 
. 
. 
. **********************************************************************
. ****************************Data Cleaning****************************
. **********************************************************************
. **********************************************************************
. **********************************************************************
. **********************************************************************
. clear
{txt}
{com}. set more off
{txt}
{com}. use "ANES 2008 Panel.dta"
{txt}
{com}. set more off
{txt}
{com}. 
. 
.                 
.                 ************************************
.                 *********Economic Assessments*******
.                 ************************************
. 
. *W1
.         *Economy vs. 2001
.         recode  W1T1 (-7=.) (-6=.) (-5=.) (-4=.) ///
>                 (1=5) (2=4) (3=3) (4=2) (5=1)   , gen(w1_econ2001)
{txt}(4009 differences between W1T1 and w1_econ2001)

{com}.                 
.                 
.         label var w1_econ2001 "Econ Better than 2001?"
{txt}
{com}.         label def bet 1 "Much Worse" 2 "Somewhat Worse" 3 "Same" 4 "Somewhat Better" 5 "Much Better" 
{txt}
{com}.         label values w1_econ2001 bet
{txt}
{com}.         
.         recode w1_econ2001 (1=1) (2=1) (3=2) (4=3) (5=3), gen(w1_econ2001_3)
{txt}(949 differences between w1_econ2001 and w1_econ2001_3)

{com}.         label def bet1 1 "Worse" 2 "Same" 3 "Better" 
{txt}
{com}.         label var w1_econ2001_3 "Econ Better than 2001 (W1)?"
{txt}
{com}.         label values w1_econ2001_3 bet1
{txt}
{com}. 
.         tab w1_econ2001

    {txt}Econ Better {c |}
     than 2001? {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
     Much Worse {c |}{res}        668       41.31       41.31
{txt} Somewhat Worse {c |}{res}        558       34.51       75.82
{txt}           Same {c |}{res}        231       14.29       90.11
{txt}Somewhat Better {c |}{res}        126        7.79       97.90
{txt}    Much Better {c |}{res}         34        2.10      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      1,617      100.00
{txt}
{com}.         tab w1_econ2001_3

{txt}Econ Better {c |}
  than 2001 {c |}
      (W1)? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Worse {c |}{res}      1,226       75.82       75.82
{txt}       Same {c |}{res}        231       14.29       90.11
{txt}     Better {c |}{res}        160        9.89      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,617      100.00
{txt}
{com}.         
.         *Deficit vs. 2001
.         recode W1T4 (-7=.) (-6=.) (-5=.) (-4=.) ///
>                 (1=5) (2=4) (3=3) (4=2) (5=1) , gen(w1_deficit2001)
{txt}(4026 differences between W1T4 and w1_deficit2001)

{com}.         
.         label var w1_deficit2001 "Deficit Better than 2001 (W1)?"
{txt}
{com}.         label values w1_deficit2001 bet
{txt}
{com}.         
.         recode w1_deficit2001 (1=1) (2=1) (3=2) (4=3) (5=3), gen(w1_deficit2001_3)
{txt}(727 differences between w1_deficit2001 and w1_deficit2001_3)

{com}.         label var w1_deficit2001_3 "Deficit Better than 2001 (W1)?"
{txt}
{com}.         label values w1_deficit2001_3 bet1
{txt}
{com}.         
.         tab w1_deficit2001

 {txt}Deficit Better {c |}
than 2001 (W1)? {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
     Much Worse {c |}{res}        887       54.96       54.96
{txt} Somewhat Worse {c |}{res}        472       29.24       84.20
{txt}           Same {c |}{res}        214       13.26       97.46
{txt}Somewhat Better {c |}{res}         34        2.11       99.57
{txt}    Much Better {c |}{res}          7        0.43      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      1,614      100.00
{txt}
{com}.         tab w1_deficit2001_3

    {txt}Deficit {c |}
Better than {c |}
 2001 (W1)? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Worse {c |}{res}      1,359       84.20       84.20
{txt}       Same {c |}{res}        214       13.26       97.46
{txt}     Better {c |}{res}         41        2.54      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,614      100.00
{txt}
{com}.         
.         *Economy vs. 2007
.         recode W1U1 (-7=.) (-6=.) (-5=.) (-4=.) ///
>                 (1=3) (2=2) (3=1), gen(w1_retro)
{txt}(3869 differences between W1U1 and w1_retro)

{com}.         label var w1_retro "Econ Better than 1yr Ago (W1)?"
{txt}
{com}.         label values w1_retro bet1
{txt}
{com}.         
.         gen w1_retro5 = .
{txt}(4240 missing values generated)

{com}.         replace w1_retro5 = 5 if w1_retro == 3 & W1U2 == 1
{txt}(12 real changes made)

{com}.         replace w1_retro5 = 4 if w1_retro == 3 & W1U2 == 2
{txt}(39 real changes made)

{com}.         replace w1_retro5 = 3 if w1_retro == 2
{txt}(371 real changes made)

{com}.         replace w1_retro5 = 2 if w1_retro == 1 & W1U3 == 2
{txt}(635 real changes made)

{com}.         replace w1_retro5 = 1 if w1_retro == 1 & W1U3 == 1
{txt}(556 real changes made)

{com}.         label var w1_retro5 "Econ Better than 1yr Ago (W1)?"
{txt}
{com}.         label values w1_retro5 bet
{txt}
{com}. 
.         tab w1_retro

{txt}Econ Better {c |}
   than 1yr {c |}
  Ago (W1)? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Worse {c |}{res}      1,195       73.90       73.90
{txt}       Same {c |}{res}        371       22.94       96.85
{txt}     Better {c |}{res}         51        3.15      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,617      100.00
{txt}
{com}.         tab w1_retro5

    {txt}Econ Better {c |}
   than 1yr Ago {c |}
          (W1)? {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
     Much Worse {c |}{res}        556       34.47       34.47
{txt} Somewhat Worse {c |}{res}        635       39.37       73.84
{txt}           Same {c |}{res}        371       23.00       96.84
{txt}Somewhat Better {c |}{res}         39        2.42       99.26
{txt}    Much Better {c |}{res}         12        0.74      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      1,613      100.00
{txt}
{com}.         
.         *Prospective
.         recode W1U4 (-7=.) (-6=.) (-5=.) (-4=.), gen(w1_prosp)
{txt}(2624 differences between W1U4 and w1_prosp)

{com}.         label var w1_prosp "Econ Worse in 1yr (W1)?"
{txt}
{com}.         label def wor 1 "Better" 2 "Same" 3 "Worse"
{txt}
{com}.         label values w1_prosp wor
{txt}
{com}.                 
.         gen w1_prosp5 = .
{txt}(4240 missing values generated)

{com}.         replace w1_prosp5 = 1  if w1_prosp == 3 & W1U5 == 1
{txt}(0 real changes made)

{com}.         replace w1_prosp5 = 2  if w1_prosp == 3 & W1U5 == 2
{txt}(0 real changes made)

{com}.         replace w1_prosp5 = 3  if w1_prosp == 2
{txt}(755 real changes made)

{com}.         replace w1_prosp5 = 4  if w1_prosp == 1 & W1U6 == 2
{txt}(0 real changes made)

{com}.         replace w1_prosp5 = 5  if w1_prosp == 1 & W1U6 == 1
{txt}(0 real changes made)

{com}.         label var w1_prosp5 "Econ Worse in 1yr (W1)?"
{txt}
{com}.         label def mwor 1 "Much Better" 2 "Somewhat Better" 3 "Same" ///
>                 4 "Somewhat Worse" 5 "Somewhat Worse" 
{txt}
{com}.         label values w1_prosp5 mwor
{txt}
{com}.         
.         tab w1_prosp 

 {txt}Econ Worse {c |}
     in 1yr {c |}
      (W1)? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
     Better {c |}{res}        318       19.68       19.68
{txt}       Same {c |}{res}        755       46.72       66.40
{txt}      Worse {c |}{res}        543       33.60      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,616      100.00
{txt}
{com}.         tab w1_prosp5   

  {txt}Econ Worse in {c |}
      1yr (W1)? {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
           Same {c |}{res}        755      100.00      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}        755      100.00
{txt}
{com}. 
. *W6
.         *Economy vs. 2001
.         recode  W6T1 (-7=.) (-6=.) (-5=.) (-4=.) ///
>                 (1=5) (2=4) (3=3) (4=2) (5=1), gen(w6_econ2001)
{txt}(4117 differences between W6T1 and w6_econ2001)

{com}.         label var w6_econ2001 "Econ Better than 2001 (W6)?"
{txt}
{com}.         label values w6_econ2001 bet
{txt}
{com}.         
.         recode w6_econ2001 (1=1) (2=1) (3=2) (4=3) (5=3), gen(w6_econ2001_3)
{txt}(560 differences between w6_econ2001 and w6_econ2001_3)

{com}.         label var w6_econ2001_3 "Economy Better than 2001? (W6)"
{txt}
{com}.         label values w6_econ2001_3 bet1
{txt}
{com}. 
.         tab w6_econ2001

    {txt}Econ Better {c |}
than 2001 (W6)? {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
     Much Worse {c |}{res}        860       60.56       60.56
{txt} Somewhat Worse {c |}{res}        394       27.75       88.31
{txt}           Same {c |}{res}        123        8.66       96.97
{txt}Somewhat Better {c |}{res}         34        2.39       99.37
{txt}    Much Better {c |}{res}          9        0.63      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      1,420      100.00
{txt}
{com}.         tab w6_econ2001_3

    {txt}Economy {c |}
Better than {c |}
 2001? (W6) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Worse {c |}{res}      1,254       88.31       88.31
{txt}       Same {c |}{res}        123        8.66       96.97
{txt}     Better {c |}{res}         43        3.03      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,420      100.00
{txt}
{com}.         
.         *Deficit vs. 2001
.         recode W6T4 (-7=.) (-6=.) (-5=.) (-4=.) ///
>                 (1=5) (2=4) (3=3) (4=2) (5=1), gen(w6_deficit2001)
{txt}(4107 differences between W6T4 and w6_deficit2001)

{com}.         label var w6_deficit2001 "Deficit Better than 2001? (W6)"
{txt}
{com}.         label values w6_deficit2001 bet
{txt}
{com}.         
.         recode w6_deficit2001 (1=1) (2=1) (3=2) (4=3) (5=3), gen(w6_deficit2001_3)
{txt}(523 differences between w6_deficit2001 and w6_deficit2001_3)

{com}.         label var w6_deficit2001_3 "Deficit Better than 2001? (W6)"
{txt}
{com}.         label values w6_deficit2001_3 bet1
{txt}
{com}.         
.         tab w6_deficit2001

 {txt}Deficit Better {c |}
than 2001? (W6) {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
     Much Worse {c |}{res}        897       63.17       63.17
{txt} Somewhat Worse {c |}{res}        368       25.92       89.08
{txt}           Same {c |}{res}        133        9.37       98.45
{txt}Somewhat Better {c |}{res}         18        1.27       99.72
{txt}    Much Better {c |}{res}          4        0.28      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      1,420      100.00
{txt}
{com}.         tab w6_deficit2001_3

    {txt}Deficit {c |}
Better than {c |}
 2001? (W6) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Worse {c |}{res}      1,265       89.08       89.08
{txt}       Same {c |}{res}        133        9.37       98.45
{txt}     Better {c |}{res}         22        1.55      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,420      100.00
{txt}
{com}.         
.         *Economy vs. 2007
.         recode W6U1 (-7=.) (-6=.) (-5=.) (-4=.) ///
>                 (1=3) (2=2) (3=1) , gen(w6_retro)
{txt}(4063 differences between W6U1 and w6_retro)

{com}.         label var w6_retro "Econ Better than 1yr Ago (W6)?"
{txt}
{com}.         label values w6_retro bet1
{txt}
{com}.         
.         gen w6_retro5 = .
{txt}(4240 missing values generated)

{com}.         replace w6_retro5 = 5 if w6_retro == 3 & W6U2 == 1
{txt}(4 real changes made)

{com}.         replace w6_retro5 = 4 if w6_retro == 3 & W6U2 == 2
{txt}(15 real changes made)

{com}.         replace w6_retro5 = 3 if w6_retro == 2
{txt}(177 real changes made)

{com}.         replace w6_retro5 = 2 if w6_retro == 1 & W6U3 == 2
{txt}(430 real changes made)

{com}.         replace w6_retro5 = 1 if w6_retro == 1 & W6U3 == 1
{txt}(793 real changes made)

{com}.         label var w6_retro5 "Econ Better than 1yr Ago (W6)?"
{txt}
{com}.         label values w6_retro5 bet
{txt}
{com}. 
.         tab w6_retro

{txt}Econ Better {c |}
   than 1yr {c |}
  Ago (W6)? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Worse {c |}{res}      1,224       86.20       86.20
{txt}       Same {c |}{res}        177       12.46       98.66
{txt}     Better {c |}{res}         19        1.34      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,420      100.00
{txt}
{com}.         tab w6_retro5

    {txt}Econ Better {c |}
   than 1yr Ago {c |}
          (W6)? {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
     Much Worse {c |}{res}        793       55.88       55.88
{txt} Somewhat Worse {c |}{res}        430       30.30       86.19
{txt}           Same {c |}{res}        177       12.47       98.66
{txt}Somewhat Better {c |}{res}         15        1.06       99.72
{txt}    Much Better {c |}{res}          4        0.28      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      1,419      100.00
{txt}
{com}.         
.         *Prospective
.         recode W6U4 (-7=.) (-6=.) (-5=.) (-4=.), gen(w6_prosp)
{txt}(2821 differences between W6U4 and w6_prosp)

{com}.         label var w6_prosp "Econ Worse in 1yr (W6)?"
{txt}
{com}.         label values w6_prosp wor
{txt}
{com}.                 
.         gen w6_prosp5 = .
{txt}(4240 missing values generated)

{com}.         replace w6_prosp5 = 1  if w6_prosp == 1 & W6U5 == 1
{txt}(34 real changes made)

{com}.         replace w6_prosp5 = 2  if w6_prosp == 1 & W6U5 == 2
{txt}(243 real changes made)

{com}.         replace w6_prosp5 = 3  if w6_prosp == 2
{txt}(561 real changes made)

{com}.         replace w6_prosp5 = 4  if w6_prosp == 3 & W6U6 == 2
{txt}(311 real changes made)

{com}.         replace w6_prosp5 = 5  if w6_prosp == 3 & W6U6 == 1
{txt}(269 real changes made)

{com}.         label var w6_prosp5 "Econ Worse in 1yr (W6)?"
{txt}
{com}.         label values w6_prosp5 mwor
{txt}
{com}.         
.         tab w6_prosp 

 {txt}Econ Worse {c |}
     in 1yr {c |}
      (W6)? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
     Better {c |}{res}        277       19.52       19.52
{txt}       Same {c |}{res}        561       39.53       59.06
{txt}      Worse {c |}{res}        581       40.94      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,419      100.00
{txt}
{com}.         tab w6_prosp5   

  {txt}Econ Worse in {c |}
      1yr (W6)? {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
    Much Better {c |}{res}         34        2.40        2.40
{txt}Somewhat Better {c |}{res}        243       17.14       19.53
{txt}           Same {c |}{res}        561       39.56       59.10
{txt} Somewhat Worse {c |}{res}        311       21.93       81.03
{txt} Somewhat Worse {c |}{res}        269       18.97      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      1,418      100.00
{txt}
{com}. 
. *W10
.         *Economy vs. 2007
.         label def reverse 1 "Worse" 2 "Same" 3 "Better" 
{txt}
{com}.         label def reverse5 1 "Much Worse" 2 "Somewhat Worse" 3 "Same" 4 "Somewhat Better" 5 "Much Better" 
{txt}
{com}.         recode W10U1 (-7=.) (-6=.) (-5=.) (-4=.) (1=3) (2=2) (3=1)      , gen(w10_retro)
{txt}(4100 differences between W10U1 and w10_retro)

{com}.         label var w10_retro "Econ Better than 1yr Ago (W10)?"
{txt}
{com}.         label values w10_retro reverse
{txt}
{com}.                 
.         gen w10_retro5 = .
{txt}(4240 missing values generated)

{com}.         replace w10_retro5 = 5 if w10_retro == 3 & W10U2 == 1
{txt}(8 real changes made)

{com}.         replace w10_retro5 = 4 if w10_retro == 3 & W10U2 == 2
{txt}(6 real changes made)

{com}.         replace w10_retro5 = 3 if w10_retro == 2
{txt}(140 real changes made)

{com}.         replace w10_retro5 = 2 if w10_retro == 1 & W10U3 == 2
{txt}(417 real changes made)

{com}.         replace w10_retro5 = 1 if w10_retro == 1 & W10U3 == 1
{txt}(2054 real changes made)

{com}.         label var w10_retro5 "Econ Worse than 1yr Ago (W10)?"
{txt}
{com}.         label values w10_retro5 reverse5
{txt}
{com}.         
.         tab w10_retro

{txt}Econ Better {c |}
   than 1yr {c |}
 Ago (W10)? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Worse {c |}{res}      2,472       94.14       94.14
{txt}       Same {c |}{res}        140        5.33       99.47
{txt}     Better {c |}{res}         14        0.53      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,626      100.00
{txt}
{com}.         tab w10_retro5

{txt}Econ Worse than {c |}
 1yr Ago (W10)? {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
     Much Worse {c |}{res}      2,054       78.25       78.25
{txt} Somewhat Worse {c |}{res}        417       15.89       94.13
{txt}           Same {c |}{res}        140        5.33       99.47
{txt}Somewhat Better {c |}{res}          6        0.23       99.70
{txt}    Much Better {c |}{res}          8        0.30      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      2,625      100.00
{txt}
{com}.         
.         *Prospective
.         recode W10U4 (-7=.) (-6=.) (-5=.) (-4=.), gen(w10_prosp)
{txt}(1617 differences between W10U4 and w10_prosp)

{com}.         label var w10_prosp "Econ Worse in 1yr (W10)?"
{txt}
{com}.         label values w10_prosp wor
{txt}
{com}.                 
.         gen w10_prosp5 = .
{txt}(4240 missing values generated)

{com}.         replace w10_prosp5 = 1  if w10_prosp == 1 & W10U5 == 1
{txt}(142 real changes made)

{com}.         replace w10_prosp5 = 2  if w10_prosp == 1 & W10U5 == 2
{txt}(696 real changes made)

{com}.         replace w10_prosp5 = 3  if w10_prosp == 2
{txt}(1099 real changes made)

{com}.         replace w10_prosp5 = 4  if w10_prosp == 3 & W10U6 == 2
{txt}(333 real changes made)

{com}.         replace w10_prosp5 = 5  if w10_prosp == 3 & W10U6 == 1
{txt}(352 real changes made)

{com}.         label var w10_prosp5 "Econ Worse in 1yr (W10)?"
{txt}
{com}.         label values w10_prosp5 mwor
{txt}
{com}.         
.         tab w10_prosp 

 {txt}Econ Worse {c |}
     in 1yr {c |}
     (W10)? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
     Better {c |}{res}        839       31.99       31.99
{txt}       Same {c |}{res}      1,099       41.90       73.88
{txt}      Worse {c |}{res}        685       26.12      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,623      100.00
{txt}
{com}.         tab w10_prosp5  

  {txt}Econ Worse in {c |}
     1yr (W10)? {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
    Much Better {c |}{res}        142        5.42        5.42
{txt}Somewhat Better {c |}{res}        696       26.54       31.96
{txt}           Same {c |}{res}      1,099       41.91       73.87
{txt} Somewhat Worse {c |}{res}        333       12.70       86.58
{txt} Somewhat Worse {c |}{res}        352       13.42      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      2,622      100.00
{txt}
{com}. 
. *W11
.         *Economy vs. 2001
.         recode  W11U1 (-7=.) (-6=.) (-5=.) (-4=.) (1=5) (2=4) (3=3) (4=2) (5=1) , gen(w11_econ2001)
{txt}(4142 differences between W11U1 and w11_econ2001)

{com}.         label var w11_econ2001 "Econ Worse than 2001 (W11)?"
{txt}
{com}.         label values w11_econ2001 reverse5
{txt}
{com}.         
.         recode w11_econ2001 (1=1) (2=1) (3=2) (4=3) (5=3), gen(w11_econ2001_3)
{txt}(588 differences between w11_econ2001 and w11_econ2001_3)

{com}.         label var w11_econ2001_3 "Econ Worse than 2001 (W11)?"
{txt}
{com}.         label values w11_econ2001_3 reverse
{txt}
{com}. 
.         tab w11_econ2001

{txt}Econ Worse than {c |}
    2001 (W11)? {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
     Much Worse {c |}{res}      2,074       77.91       77.91
{txt} Somewhat Worse {c |}{res}        463       17.39       95.30
{txt}           Same {c |}{res}         98        3.68       98.99
{txt}Somewhat Better {c |}{res}         17        0.64       99.62
{txt}    Much Better {c |}{res}         10        0.38      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      2,662      100.00
{txt}
{com}.         tab w11_econ2001_3

 {txt}Econ Worse {c |}
  than 2001 {c |}
     (W11)? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Worse {c |}{res}      2,537       95.30       95.30
{txt}       Same {c |}{res}         98        3.68       98.99
{txt}     Better {c |}{res}         27        1.01      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,662      100.00
{txt}
{com}. 
.         
.         *Deficit vs. 2001
.         recode W11U4 (-7=.) (-6=.) (-5=.) (-4=.) (1=5) (2=4) (3=3) (4=2) (5=1), gen(w11_deficit2001)
{txt}(4138 differences between W11U4 and w11_deficit2001)

{com}.         label var w11_deficit2001 "Deficit Worse than 2001 (W11)?"
{txt}
{com}.         label values w11_deficit2001 reverse5
{txt}
{com}.         
.         recode w11_deficit2001 (1=1) (2=1) (3=2) (4=3) (5=3), gen(w11_deficit2001_3)
{txt}(556 differences between w11_deficit2001 and w11_deficit2001_3)

{com}.         label var w11_deficit2001_3 "Deficit Worse than 2001 (W11)?"
{txt}
{com}.         label values w11_deficit2001_3 reverse
{txt}
{com}.         
.         tab w11_deficit2001

  {txt}Deficit Worse {c |}
      than 2001 {c |}
         (W11)? {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
     Much Worse {c |}{res}      2,106       79.11       79.11
{txt} Somewhat Worse {c |}{res}        429       16.12       95.23
{txt}           Same {c |}{res}        102        3.83       99.06
{txt}Somewhat Better {c |}{res}         17        0.64       99.70
{txt}    Much Better {c |}{res}          8        0.30      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      2,662      100.00
{txt}
{com}.         tab w11_deficit2001_3

    {txt}Deficit {c |}
 Worse than {c |}
2001 (W11)? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Worse {c |}{res}      2,535       95.23       95.23
{txt}       Same {c |}{res}        102        3.83       99.06
{txt}     Better {c |}{res}         25        0.94      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,662      100.00
{txt}
{com}. 
.         *Economy vs. 2007
.         recode W11V1 (-7=.) (-6=.) (-5=.) (-4=.) (1=3) (2=2) (3=1)      , gen(w11_retro)
{txt}(4080 differences between W11V1 and w11_retro)

{com}.         label var w11_retro "Econ Worse than 1yr Ago (W11)?"
{txt}
{com}.         label values w11_retro reverse
{txt}
{com}.         
.         gen w11_retro5 = .
{txt}(4240 missing values generated)

{com}.         replace w11_retro5 = 1 if w11_retro == 1 & W11V3 == 1
{txt}(2058 real changes made)

{com}.         replace w11_retro5 = 2 if w11_retro == 1 & W11V3 == 2
{txt}(426 real changes made)

{com}.         replace w11_retro5 = 3 if w11_retro == 2
{txt}(160 real changes made)

{com}.         replace w11_retro5 = 4 if w11_retro == 3 & W11V2 == 2
{txt}(11 real changes made)

{com}.         replace w11_retro5 = 5 if w11_retro == 3 & W11V2 == 1
{txt}(6 real changes made)

{com}.         label var w11_retro5 "Econ Worse than 1yr Ago (W11)?"
{txt}
{com}.         label values w11_retro5 reverse5
{txt}
{com}. 
.         tab w11_retro

 {txt}Econ Worse {c |}
   than 1yr {c |}
 Ago (W11)? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Worse {c |}{res}      2,486       93.35       93.35
{txt}       Same {c |}{res}        160        6.01       99.36
{txt}     Better {c |}{res}         17        0.64      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,663      100.00
{txt}
{com}.         tab w11_retro5

{txt}Econ Worse than {c |}
 1yr Ago (W11)? {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
     Much Worse {c |}{res}      2,058       77.34       77.34
{txt} Somewhat Worse {c |}{res}        426       16.01       93.35
{txt}           Same {c |}{res}        160        6.01       99.36
{txt}Somewhat Better {c |}{res}         11        0.41       99.77
{txt}    Much Better {c |}{res}          6        0.23      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      2,661      100.00
{txt}
{com}. 
.         *Prospective
.         recode W11V4 (-7=.) (-6=.) (-5=.) (-4=.), gen(w11_prosp)
{txt}(1576 differences between W11V4 and w11_prosp)

{com}.         label var w11_prosp "Econ Worse in 1yr (W11)?"
{txt}
{com}.         label values w11_prosp wor
{txt}
{com}.                 
.         gen w11_prosp5 = .
{txt}(4240 missing values generated)

{com}.         replace w11_prosp5 = 1  if w11_prosp == 1 & W11V5 == 1
{txt}(133 real changes made)

{com}.         replace w11_prosp5 = 2  if w11_prosp == 1 & W11V5 == 2
{txt}(867 real changes made)

{com}.         replace w11_prosp5 = 3  if w11_prosp == 2
{txt}(1061 real changes made)

{com}.         replace w11_prosp5 = 4  if w11_prosp == 3 & W11V6 == 2
{txt}(311 real changes made)

{com}.         replace w11_prosp5 = 5  if w11_prosp == 3 & W11V6 == 1
{txt}(291 real changes made)

{com}.         label var w11_prosp5 "Econ Worse in 1yr (W11)?"
{txt}
{com}.         label values w11_prosp5 mwor
{txt}
{com}.         
.         tab w11_prosp 

 {txt}Econ Worse {c |}
     in 1yr {c |}
     (W11)? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
     Better {c |}{res}      1,001       37.58       37.58
{txt}       Same {c |}{res}      1,061       39.83       77.40
{txt}      Worse {c |}{res}        602       22.60      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,664      100.00
{txt}
{com}.         tab w11_prosp5  

  {txt}Econ Worse in {c |}
     1yr (W11)? {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
    Much Better {c |}{res}        133        4.99        4.99
{txt}Somewhat Better {c |}{res}        867       32.56       37.55
{txt}           Same {c |}{res}      1,061       39.84       77.39
{txt} Somewhat Worse {c |}{res}        311       11.68       89.07
{txt} Somewhat Worse {c |}{res}        291       10.93      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      2,663      100.00
{txt}
{com}. 
. *W17
.         *Deficit vs. 2009
.         recode W17U4 (-7=.) (-6=.) (-5=.) (-4=.) (1=5) (2=4) (3=3) (4=2) (5=1), gen(w17_deficit2001)
{txt}(3867 differences between W17U4 and w17_deficit2001)

{com}.         label var w17_deficit2001 "Deficit Worse than Jan. 2009 (W17)?"
{txt}
{com}.         label values w17_deficit2001 reverse5
{txt}
{com}.         
.         recode w17_deficit2001 (1=1) (2=1) (3=2) (4=3) (5=3), gen(w17_deficit2001_3)
{txt}(1197 differences between w17_deficit2001 and w17_deficit2001_3)

{com}.         label var w17_deficit2001_3 "Deficit Worse Jan. 2009 (W17)?"
{txt}
{com}.         label values w17_deficit2001_3 reverse
{txt}
{com}.         
.         tab w17_deficit2001

  {txt}Deficit Worse {c |}
 than Jan. 2009 {c |}
         (W17)? {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
     Much Worse {c |}{res}      1,193       49.92       49.92
{txt} Somewhat Worse {c |}{res}        755       31.59       81.51
{txt}           Same {c |}{res}        373       15.61       97.11
{txt}Somewhat Better {c |}{res}         64        2.68       99.79
{txt}    Much Better {c |}{res}          5        0.21      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      2,390      100.00
{txt}
{com}.         tab w17_deficit2001_3

    {txt}Deficit {c |}
 Worse Jan. {c |}
2009 (W17)? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Worse {c |}{res}      1,948       81.51       81.51
{txt}       Same {c |}{res}        373       15.61       97.11
{txt}     Better {c |}{res}         69        2.89      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,390      100.00
{txt}
{com}.         
.         gen def_knowl17 = .
{txt}(4240 missing values generated)

{com}.         replace def_knowl17 = 1 if w17_deficit2001_3 == 1
{txt}(1948 real changes made)

{com}.         replace def_knowl17 = 0 if w17_deficit2001_3 >=2 & w17_deficit2001_3 <=3
{txt}(442 real changes made)

{com}.         label var def_knowl17 "Deficit Knowledge" 
{txt}
{com}.         label def kno 1 "Correct" 0 "Incorrect" 
{txt}
{com}.         label values def_knowl17 kno
{txt}
{com}.         
.         
.         *Economy vs. Jan. 2009
.         recode W17V1 (-7=.) (-6=.) (-5=.) (-4=.) (1=3) (2=2) (3=1), gen(w17_retro)
{txt}(3479 differences between W17V1 and w17_retro)

{com}.         label var w17_retro "Econ Worse than Jan. 2009 (W17)?"
{txt}
{com}.         label values w17_retro reverse
{txt}
{com}.         
.         gen w17_retro5 = .
{txt}(4240 missing values generated)

{com}.         replace w17_retro5 = 1 if w17_retro == 1 & W17V3 == 1
{txt}(663 real changes made)

{com}.         replace w17_retro5 = 2 if w17_retro == 1 & W17V3 == 2
{txt}(602 real changes made)

{com}.         replace w17_retro5 = 3 if w17_retro == 2
{txt}(761 real changes made)

{com}.         replace w17_retro5 = 4 if w17_retro == 3 & W17V2 == 2
{txt}(345 real changes made)

{com}.         replace w17_retro5 = 5 if w17_retro == 3 & W17V2 == 1
{txt}(18 real changes made)

{com}.         label var w17_retro5 "Econ Worse since Jan. 2009 (W17)?"
{txt}
{com}.         label values w17_retro5 reverse5
{txt}
{com}. 
.         tab w17_retro

 {txt}Econ Worse {c |}
  than Jan. {c |}
2009 (W17)? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Worse {c |}{res}      1,266       52.97       52.97
{txt}       Same {c |}{res}        761       31.84       84.81
{txt}     Better {c |}{res}        363       15.19      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,390      100.00
{txt}
{com}.         tab w17_retro5

     {txt}Econ Worse {c |}
since Jan. 2009 {c |}
         (W17)? {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
     Much Worse {c |}{res}        663       27.75       27.75
{txt} Somewhat Worse {c |}{res}        602       25.20       52.95
{txt}           Same {c |}{res}        761       31.85       84.81
{txt}Somewhat Better {c |}{res}        345       14.44       99.25
{txt}    Much Better {c |}{res}         18        0.75      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      2,389      100.00
{txt}
{com}.         
.         *Prospective
.         recode W17V4 (-7=.) (-6=.) (-5=.) (-4=.), gen(w17_prosp)
{txt}(1851 differences between W17V4 and w17_prosp)

{com}.         label var w17_prosp "Econ Worse in 1yr (W17)?"
{txt}
{com}.         label values w17_prosp wor
{txt}
{com}.                 
.         gen w17_prosp5 = .
{txt}(4240 missing values generated)

{com}.         replace w17_prosp5 = 1  if w17_prosp == 1 & W17V5 == 1
{txt}(259 real changes made)

{com}.         replace w17_prosp5 = 2  if w17_prosp == 1 & W17V5 == 2
{txt}(987 real changes made)

{com}.         replace w17_prosp5 = 3  if w17_prosp == 2
{txt}(633 real changes made)

{com}.         replace w17_prosp5 = 4  if w17_prosp == 3 & W17V6 == 2
{txt}(255 real changes made)

{com}.         replace w17_prosp5 = 5  if w17_prosp == 3 & W17V6 == 1
{txt}(253 real changes made)

{com}.         label var w17_prosp5 "Econ Worse in 1yr (W17)"
{txt}
{com}.         label values w17_prosp5 mwor
{txt}
{com}.         
.         tab w17_prosp 

 {txt}Econ Worse {c |}
     in 1yr {c |}
     (W17)? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
     Better {c |}{res}      1,248       52.24       52.24
{txt}       Same {c |}{res}        633       26.50       78.74
{txt}      Worse {c |}{res}        508       21.26      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,389      100.00
{txt}
{com}.         tab w17_prosp5  

  {txt}Econ Worse in {c |}
      1yr (W17) {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
    Much Better {c |}{res}        259       10.85       10.85
{txt}Somewhat Better {c |}{res}        987       41.35       52.20
{txt}           Same {c |}{res}        633       26.52       78.72
{txt} Somewhat Worse {c |}{res}        255       10.68       89.40
{txt} Somewhat Worse {c |}{res}        253       10.60      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      2,387      100.00
{txt}
{com}. 
. 
. *W19
.         *Deficit vs. 2009
.         recode W19U4 (-7=.) (-6=.) (-5=.) (-4=.) (1=5) (2=4) (3=3) (4=2) (5=1), gen(w19_deficit2001)
{txt}(3847 differences between W19U4 and w19_deficit2001)

{com}.         label var w19_deficit2001 "Deficit Worse than Jan. 2009 (W19)?"
{txt}
{com}.         label values w19_deficit2001 reverse5
{txt}
{com}.         
.         recode w19_deficit2001 (1=1) (2=1) (3=2) (4=3) (5=3), gen(w19_deficit2001_3)
{txt}(1263 differences between w19_deficit2001 and w19_deficit2001_3)

{com}.         label var w19_deficit2001_3 "Deficit Worse Jan. 2009 (W19)?"
{txt}
{com}.         label values w19_deficit2001_3 reverse
{txt}
{com}.         
.         tab w19_deficit2001

  {txt}Deficit Worse {c |}
 than Jan. 2009 {c |}
         (W19)? {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
     Much Worse {c |}{res}      1,122       47.04       47.04
{txt} Somewhat Worse {c |}{res}        779       32.66       79.71
{txt}           Same {c |}{res}        393       16.48       96.18
{txt}Somewhat Better {c |}{res}         81        3.40       99.58
{txt}    Much Better {c |}{res}         10        0.42      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      2,385      100.00
{txt}
{com}.         tab w19_deficit2001_3

    {txt}Deficit {c |}
 Worse Jan. {c |}
2009 (W19)? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Worse {c |}{res}      1,901       79.71       79.71
{txt}       Same {c |}{res}        393       16.48       96.18
{txt}     Better {c |}{res}         91        3.82      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,385      100.00
{txt}
{com}.         
.         gen def_knowl19 = . 
{txt}(4240 missing values generated)

{com}.         replace def_knowl19 = 1 if w19_deficit2001_3 == 1
{txt}(1901 real changes made)

{com}.         replace def_knowl19 = 0 if w19_deficit2001_3 >=2 & w19_deficit2001_3 <=3
{txt}(484 real changes made)

{com}.         label var def_knowl19 "Deficit Knowledge" 
{txt}
{com}.         label values def_knowl19 kno
{txt}
{com}.         
.         
.         *Economy vs. Jan. 2009
.         recode W19V1 (-7=.) (-6=.) (-5=.) (-4=.) (1=3) (2=2) (3=1)      , gen(w19_retro)
{txt}(3498 differences between W19V1 and w19_retro)

{com}.         label var w19_retro "Econ Worse than Jan. 2009 (W19)?"
{txt}
{com}.         label values w19_retro reverse
{txt}
{com}.         
.         gen w19_retro5 = .
{txt}(4240 missing values generated)

{com}.         replace w19_retro5 = 1 if w19_retro == 1 & W19V3 == 1
{txt}(661 real changes made)

{com}.         replace w19_retro5 = 2 if w19_retro == 1 & W19V3 == 2
{txt}(688 real changes made)

{com}.         replace w19_retro5 = 3 if w19_retro == 2
{txt}(742 real changes made)

{com}.         replace w19_retro5 = 4 if w19_retro == 3 & W19V2 == 2
{txt}(280 real changes made)

{com}.         replace w19_retro5 = 5 if w19_retro == 3 & W19V2 == 1
{txt}(15 real changes made)

{com}.         label var w19_retro5 "Econ Worse since Jan. 2009 (W19)?"
{txt}
{com}.         label values w19_retro5 reverse5
{txt}
{com}. 
.         tab w19_retro

 {txt}Econ Worse {c |}
  than Jan. {c |}
2009 (W19)? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Worse {c |}{res}      1,349       56.54       56.54
{txt}       Same {c |}{res}        742       31.10       87.64
{txt}     Better {c |}{res}        295       12.36      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,386      100.00
{txt}
{com}.         tab w19_retro5

     {txt}Econ Worse {c |}
since Jan. 2009 {c |}
         (W19)? {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
     Much Worse {c |}{res}        661       27.70       27.70
{txt} Somewhat Worse {c |}{res}        688       28.83       56.54
{txt}           Same {c |}{res}        742       31.10       87.64
{txt}Somewhat Better {c |}{res}        280       11.74       99.37
{txt}    Much Better {c |}{res}         15        0.63      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      2,386      100.00
{txt}
{com}.         
.         *Prospective
.         recode W19V4 (-7=.) (-6=.) (-5=.) (-4=.), gen(w19_prosp)
{txt}(1855 differences between W19V4 and w19_prosp)

{com}.         label var w19_prosp "Econ Worse in 1yr (W19)?"
{txt}
{com}.         label values w19_prosp wor
{txt}
{com}.                 
.         gen w19_prosp5 = .
{txt}(4240 missing values generated)

{com}.         replace w19_prosp5 = 1  if w19_prosp == 1 & W19V5 == 1
{txt}(194 real changes made)

{com}.         replace w19_prosp5 = 2  if w19_prosp == 1 & W19V5 == 2
{txt}(919 real changes made)

{com}.         replace w19_prosp5 = 3  if w19_prosp == 2
{txt}(689 real changes made)

{com}.         replace w19_prosp5 = 4  if w19_prosp == 3 & W19V6 == 2
{txt}(286 real changes made)

{com}.         replace w19_prosp5 = 5  if w19_prosp == 3 & W19V6 == 1
{txt}(297 real changes made)

{com}.         label var w19_prosp5 "Econ Worse in 1yr (W19)"
{txt}
{com}.         label values w19_prosp5 mwor
{txt}
{com}.         
.         tab w19_prosp 

 {txt}Econ Worse {c |}
     in 1yr {c |}
     (W19)? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
     Better {c |}{res}      1,113       46.67       46.67
{txt}       Same {c |}{res}        689       28.89       75.56
{txt}      Worse {c |}{res}        583       24.44      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,385      100.00
{txt}
{com}.         tab w19_prosp5  

  {txt}Econ Worse in {c |}
      1yr (W19) {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
    Much Better {c |}{res}        194        8.13        8.13
{txt}Somewhat Better {c |}{res}        919       38.53       46.67
{txt}           Same {c |}{res}        689       28.89       75.56
{txt} Somewhat Worse {c |}{res}        286       11.99       87.55
{txt} Somewhat Worse {c |}{res}        297       12.45      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      2,385      100.00
{txt}
{com}.         
.         recode W19WU13 (1=1) (2=0) (-7=.) (-6=.) (-5=.), gen(obamarecession)
{txt}(2976 differences between W19WU13 and obamarecession)

{com}.         label var obamarecession "Obama Helped End Recession?"
{txt}
{com}.         label def oba 1 "Obama Helped End Recession" 0 "Obama Has Not Helped End It"
{txt}
{com}.         label values obamarecession oba
{txt}
{com}.         tab obamarecession

{txt}Obama Helped End Recession? {c |}      Freq.     Percent        Cum.
{hline 28}{c +}{hline 35}
Obama Has Not Helped End It {c |}{res}      1,111       46.78       46.78
{txt} Obama Helped End Recession {c |}{res}      1,264       53.22      100.00
{txt}{hline 28}{c +}{hline 35}
                      Total {c |}{res}      2,375      100.00
{txt}
{com}. 
. 
. *Relationships Over Time*
.         pwcorr  w1_retro5 w6_retro5 w10_retro5 w11_retro5       w17_retro5 w19_retro5, sig

             {txt}{c |} w1_ret~5 w6_ret~5 w10_re~5 w11_re~5 w17_re~5 w19_re~5
{hline 13}{c +}{hline 54}
   w1_retro5 {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
   w6_retro5 {c |} {res}  0.4942   1.0000 
             {txt}{c |}{res}   0.0000
             {txt}{c |}
  w10_retro5 {c |} {res}  0.3713   0.4071   1.0000 
             {txt}{c |}{res}   0.0000   0.0000
             {txt}{c |}
  w11_retro5 {c |} {res}  0.3262   0.3808   0.4568   1.0000 
             {txt}{c |}{res}   0.0000   0.0000   0.0000
             {txt}{c |}
  w17_retro5 {c |} {res} -0.0416  -0.0272  -0.0304  -0.0032   1.0000 
             {txt}{c |}{res}   0.1413   0.3512   0.1522   0.8775
             {txt}{c |}
  w19_retro5 {c |} {res} -0.1086  -0.0464  -0.0809  -0.0381   0.5396   1.0000 
             {txt}{c |}{res}   0.0001   0.1141   0.0001   0.0707   0.0000
             {txt}{c |}

{com}.         pwcorr w1_prosp5         w6_prosp5       w10_prosp5      w11_prosp5  w17_prosp5          w19_prosp5, sig

             {txt}{c |} w1_pro~5 w6_pro~5 w10_pr~5 w11_pr~5 w17_pr~5 w19_pr~5
{hline 13}{c +}{hline 54}
   w1_prosp5 {c |} {res}       . 
             {txt}{c |}
             {c |}
   w6_prosp5 {c |} {res}       .   1.0000 
             {txt}{c |}{res}        .
             {txt}{c |}
  w10_prosp5 {c |} {res}       .   0.4208   1.0000 
             {txt}{c |}{res}        .   0.0000
             {txt}{c |}
  w11_prosp5 {c |} {res}       .   0.2612   0.3957   1.0000 
             {txt}{c |}{res}        .   0.0000   0.0000
             {txt}{c |}
  w17_prosp5 {c |} {res}       .   0.2122   0.2643   0.4386   1.0000 
             {txt}{c |}{res}        .   0.0000   0.0000   0.0000
             {txt}{c |}
  w19_prosp5 {c |} {res}       .   0.1749   0.2107   0.4112   0.6670   1.0000 
             {txt}{c |}{res}        .   0.0000   0.0000   0.0000   0.0000
             {txt}{c |}

{com}.         
.         
.                 ************************************
.                 *********Partisanship***************
.                 ************************************
. label def pi1 1 "Strong Democrat" 2 "Not Strong Dem" 3 "Lean Dem" 4 "Ind." 5 "Lean Rep" 6 "Not Strong Rep" 7 "Strong Rep"
{txt}
{com}. label def pi2 1 "Democrat" 2 "Republican" 3 "Independent"
{txt}
{com}. label def pi3 1 "Democrat" 0 "Republican"
{txt}
{com}. label def str 1 "Lean" 2 "Not Strong" 3 "Strong"
{txt}
{com}. label def part 1 "In-Partisan" 0 "Out-Partisan"
{txt}
{com}. 
.                 
. *W1
.         recode DER08W1 (0=1) (1=2) (2=3) (3=4) (4=5) (5=6) (6=7) (-7=.) (-6=.) (-5=.) (-4=.), gen(partyid1)
{txt}(4240 differences between DER08W1 and partyid1)

{com}.         label var partyid1 "PID (W1)"
{txt}
{com}.         label values partyid1 pi1
{txt}
{com}.         
.         gen pid_31 = .
{txt}(4240 missing values generated)

{com}.         replace pid_31 = 1 if partyid1 >=1 & partyid1 <= 3
{txt}(739 real changes made)

{com}.         replace pid_31 = 2 if partyid1 >=5 & partyid1 <= 7
{txt}(675 real changes made)

{com}.         replace pid_31 = 3 if partyid1 == 4
{txt}(200 real changes made)

{com}.         label var pid_31 "PID (W1)"
{txt}
{com}.         label values pid_31 pi2
{txt}
{com}.         
.         gen pid_21 = .
{txt}(4240 missing values generated)

{com}.         replace pid_21 = 1 if pid_31 == 1
{txt}(739 real changes made)

{com}.         replace pid_21 = 0 if pid_31 == 2
{txt}(675 real changes made)

{com}.         label var pid_21 "PID (W1)"
{txt}
{com}.         label values pid_21 pi3
{txt}
{com}.         
.         gen pid_str1 = .
{txt}(4240 missing values generated)

{com}.         replace pid_str1 =  1 if partyid == 3
{txt}(172 real changes made)

{com}.         replace pid_str1 =  1 if partyid == 5
{txt}(149 real changes made)

{com}.         replace pid_str1 =  2 if partyid == 2
{txt}(240 real changes made)

{com}.         replace pid_str1 =  2 if partyid == 6
{txt}(249 real changes made)

{com}.         replace pid_str1 =  3 if partyid == 1
{txt}(327 real changes made)

{com}.         replace pid_str1 =  3 if partyid == 7
{txt}(277 real changes made)

{com}.         label var pid_str1 "PID Str (W1)"
{txt}
{com}.         label values pid_str1 str
{txt}
{com}.         
.         tab partyid1

       {txt}PID (W1) {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
Strong Democrat {c |}{res}        327       20.26       20.26
{txt} Not Strong Dem {c |}{res}        240       14.87       35.13
{txt}       Lean Dem {c |}{res}        172       10.66       45.79
{txt}           Ind. {c |}{res}        200       12.39       58.18
{txt}       Lean Rep {c |}{res}        149        9.23       67.41
{txt} Not Strong Rep {c |}{res}        249       15.43       82.84
{txt}     Strong Rep {c |}{res}        277       17.16      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      1,614      100.00
{txt}
{com}.         tab pid_31

   {txt}PID (W1) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   Democrat {c |}{res}        739       45.79       45.79
{txt} Republican {c |}{res}        675       41.82       87.61
{txt}Independent {c |}{res}        200       12.39      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,614      100.00
{txt}
{com}.         tab pid_21

   {txt}PID (W1) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
 Republican {c |}{res}        675       47.74       47.74
{txt}   Democrat {c |}{res}        739       52.26      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,414      100.00
{txt}
{com}.         tab pid_str1

    {txt}PID Str {c |}
       (W1) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       Lean {c |}{res}        321       22.70       22.70
{txt} Not Strong {c |}{res}        489       34.58       57.28
{txt}     Strong {c |}{res}        604       42.72      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,414      100.00
{txt}
{com}.         
.         recode pid_21 (1=0) (0=1), gen(partisan_1)
{txt}(1414 differences between pid_21 and partisan_1)

{com}.         label var partisan_1 "Co-Partisan to Pres? (W1)"
{txt}
{com}.         label values partisan_1 part 
{txt}
{com}.         
.         
.         
. *W9
.         recode DER08W9 (0=1) (1=2) (2=3) (3=4) (4=5) (5=6) (6=7) (-7=.) (-6=.) (-5=.) (-4=.), gen(partyid9)
{txt}(4238 differences between DER08W9 and partyid9)

{com}.         label var partyid9 "PID (W9)"
{txt}
{com}.         label values partyid9 pi1
{txt}
{com}.         
.         gen pid_39 = .
{txt}(4240 missing values generated)

{com}.         replace pid_39 = 1 if partyid9 >=1 & partyid9 <= 3
{txt}(1257 real changes made)

{com}.         replace pid_39 = 2 if partyid9 >=5 & partyid9 <= 7
{txt}(1142 real changes made)

{com}.         replace pid_39 = 3 if partyid9 == 4
{txt}(334 real changes made)

{com}.         label var pid_39 "PID (W9)"
{txt}
{com}.         label values pid_39 pi2
{txt}
{com}.         
.         gen pid_29 = .
{txt}(4240 missing values generated)

{com}.         replace pid_29 = 1 if pid_39 == 1
{txt}(1257 real changes made)

{com}.         replace pid_29 = 0 if pid_39 == 2
{txt}(1142 real changes made)

{com}.         label var pid_29 "PID (W9)"
{txt}
{com}.         label values pid_29 pi3
{txt}
{com}.         
.         gen pid_str9 = .
{txt}(4240 missing values generated)

{com}.         replace pid_str9 =  1 if partyid9 == 3
{txt}(278 real changes made)

{com}.         replace pid_str9 =  1 if partyid9 == 5
{txt}(276 real changes made)

{com}.         replace pid_str9 =  2 if partyid9 == 2
{txt}(390 real changes made)

{com}.         replace pid_str9 =  2 if partyid9 == 6
{txt}(379 real changes made)

{com}.         replace pid_str9 =  3 if partyid9 == 1
{txt}(589 real changes made)

{com}.         replace pid_str9 =  3 if partyid9 == 7
{txt}(487 real changes made)

{com}.         label var pid_str9 "PID Str (W9)"
{txt}
{com}.         label values pid_str9 str
{txt}
{com}.         
.         tab partyid9

       {txt}PID (W9) {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
Strong Democrat {c |}{res}        589       21.55       21.55
{txt} Not Strong Dem {c |}{res}        390       14.27       35.82
{txt}       Lean Dem {c |}{res}        278       10.17       45.99
{txt}           Ind. {c |}{res}        334       12.22       58.21
{txt}       Lean Rep {c |}{res}        276       10.10       68.31
{txt} Not Strong Rep {c |}{res}        379       13.87       82.18
{txt}     Strong Rep {c |}{res}        487       17.82      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      2,733      100.00
{txt}
{com}.         tab partyid9 DER08W9

                {txt}{c |}        der08w9. DERIVED. R party identification at wave 9
       PID (W9) {c |} 0. Strong  1. Not ve  2. Indepe  3. Indepe  4. Indepe  5. Not ve {c |}     Total
{hline 16}{c +}{hline 66}{c +}{hline 10}
Strong Democrat {c |}{res}       589          0          0          0          0          0 {txt}{c |}{res}       589 
{txt} Not Strong Dem {c |}{res}         0        390          0          0          0          0 {txt}{c |}{res}       390 
{txt}       Lean Dem {c |}{res}         0          0        278          0          0          0 {txt}{c |}{res}       278 
{txt}           Ind. {c |}{res}         0          0          0        334          0          0 {txt}{c |}{res}       334 
{txt}       Lean Rep {c |}{res}         0          0          0          0        276          0 {txt}{c |}{res}       276 
{txt} Not Strong Rep {c |}{res}         0          0          0          0          0        379 {txt}{c |}{res}       379 
{txt}     Strong Rep {c |}{res}         0          0          0          0          0          0 {txt}{c |}{res}       487 
{txt}{hline 16}{c +}{hline 66}{c +}{hline 10}
          Total {c |}{res}       589        390        278        334        276        379 {txt}{c |}{res}     2,733 


                {txt}{c |}  der08w9.
                {c |} DERIVED. R
                {c |}   party
                {c |} identifica
                {c |}  tion at
                {c |}   wave 9
       PID (W9) {c |} 6. Strong {c |}     Total
{hline 16}{c +}{hline 11}{c +}{hline 10}
Strong Democrat {c |}{res}         0 {txt}{c |}{res}       589 
{txt} Not Strong Dem {c |}{res}         0 {txt}{c |}{res}       390 
{txt}       Lean Dem {c |}{res}         0 {txt}{c |}{res}       278 
{txt}           Ind. {c |}{res}         0 {txt}{c |}{res}       334 
{txt}       Lean Rep {c |}{res}         0 {txt}{c |}{res}       276 
{txt} Not Strong Rep {c |}{res}         0 {txt}{c |}{res}       379 
{txt}     Strong Rep {c |}{res}       487 {txt}{c |}{res}       487 
{txt}{hline 16}{c +}{hline 11}{c +}{hline 10}
          Total {c |}{res}       487 {txt}{c |}{res}     2,733 

{txt}
{com}.         tab pid_39

   {txt}PID (W9) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   Democrat {c |}{res}      1,257       45.99       45.99
{txt} Republican {c |}{res}      1,142       41.79       87.78
{txt}Independent {c |}{res}        334       12.22      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,733      100.00
{txt}
{com}.         tab pid_29

   {txt}PID (W9) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
 Republican {c |}{res}      1,142       47.60       47.60
{txt}   Democrat {c |}{res}      1,257       52.40      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,399      100.00
{txt}
{com}.         tab pid_str9

    {txt}PID Str {c |}
       (W9) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       Lean {c |}{res}        554       23.09       23.09
{txt} Not Strong {c |}{res}        769       32.06       55.15
{txt}     Strong {c |}{res}      1,076       44.85      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,399      100.00
{txt}
{com}.         
.         recode pid_29 (1=0) (0=1), gen(partisan_9)
{txt}(2399 differences between pid_29 and partisan_9)

{com}.         label var partisan_9 "Co-Partisan to Pres? (W1)"
{txt}
{com}.         label values partisan_9 part 
{txt}
{com}.         
.         gen partisan_9rev = pid_29
{txt}(1841 missing values generated)

{com}.         label var partisan_9rev "Co-Paritsan to Pres Obama? (W9)"
{txt}
{com}.         label values partisan_9rev part
{txt}
{com}.         
.         
. *W10
.         recode DER08W10 (0=1) (1=2) (2=3) (3=4) (4=5) (5=6) (6=7) (-7=.) (-6=.) (-5=.) (-4=.), gen(partyid10)
{txt}(4240 differences between DER08W10 and partyid10)

{com}.         label var partyid10 "PID (W10)"
{txt}
{com}.         label values partyid10 pi1
{txt}
{com}.         
.         gen pid_310 = .
{txt}(4240 missing values generated)

{com}.         replace pid_310 = 1 if partyid10 >=1 & partyid10 <= 3
{txt}(1259 real changes made)

{com}.         replace pid_310 = 2 if partyid10 >=5 & partyid10 <= 7
{txt}(1102 real changes made)

{com}.         replace pid_310 = 3 if partyid10 == 4
{txt}(330 real changes made)

{com}.         label var pid_310 "PID (W10)"
{txt}
{com}.         label values pid_310 pi2
{txt}
{com}.         
.         gen pid_210 = .
{txt}(4240 missing values generated)

{com}.         replace pid_210 = 1 if pid_310 == 1
{txt}(1259 real changes made)

{com}.         replace pid_210 = 0 if pid_310 == 2
{txt}(1102 real changes made)

{com}.         label var pid_210 "PID (W10)"
{txt}
{com}.         label values pid_210 pi3
{txt}
{com}.         
.         gen pid_str10 = .
{txt}(4240 missing values generated)

{com}.         replace pid_str10 =  1 if partyid10 == 3
{txt}(257 real changes made)

{com}.         replace pid_str10 =  1 if partyid10 == 5
{txt}(252 real changes made)

{com}.         replace pid_str10 =  2 if partyid10 == 2
{txt}(405 real changes made)

{com}.         replace pid_str10 =  2 if partyid10 == 6
{txt}(412 real changes made)

{com}.         replace pid_str10 =  3 if partyid10 == 1
{txt}(597 real changes made)

{com}.         replace pid_str10 =  3 if partyid10 == 7
{txt}(438 real changes made)

{com}.         label var pid_str10 "PID Str (W10)"
{txt}
{com}.         label values pid_str10 str
{txt}
{com}.         
.         tab partyid10

      {txt}PID (W10) {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
Strong Democrat {c |}{res}        597       22.19       22.19
{txt} Not Strong Dem {c |}{res}        405       15.05       37.24
{txt}       Lean Dem {c |}{res}        257        9.55       46.79
{txt}           Ind. {c |}{res}        330       12.26       59.05
{txt}       Lean Rep {c |}{res}        252        9.36       68.41
{txt} Not Strong Rep {c |}{res}        412       15.31       83.72
{txt}     Strong Rep {c |}{res}        438       16.28      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      2,691      100.00
{txt}
{com}.         tab partyid10 DER08W10

                {txt}{c |}       der08w10. DERIVED. R party identification at wave 10
      PID (W10) {c |} 0. Strong  1. Not ve  2. Indepe  3. Indepe  4. Indepe  5. Not ve {c |}     Total
{hline 16}{c +}{hline 66}{c +}{hline 10}
Strong Democrat {c |}{res}       597          0          0          0          0          0 {txt}{c |}{res}       597 
{txt} Not Strong Dem {c |}{res}         0        405          0          0          0          0 {txt}{c |}{res}       405 
{txt}       Lean Dem {c |}{res}         0          0        257          0          0          0 {txt}{c |}{res}       257 
{txt}           Ind. {c |}{res}         0          0          0        330          0          0 {txt}{c |}{res}       330 
{txt}       Lean Rep {c |}{res}         0          0          0          0        252          0 {txt}{c |}{res}       252 
{txt} Not Strong Rep {c |}{res}         0          0          0          0          0        412 {txt}{c |}{res}       412 
{txt}     Strong Rep {c |}{res}         0          0          0          0          0          0 {txt}{c |}{res}       438 
{txt}{hline 16}{c +}{hline 66}{c +}{hline 10}
          Total {c |}{res}       597        405        257        330        252        412 {txt}{c |}{res}     2,691 


                {txt}{c |} der08w10.
                {c |} DERIVED. R
                {c |}   party
                {c |} identifica
                {c |}  tion at
                {c |}  wave 10
      PID (W10) {c |} 6. Strong {c |}     Total
{hline 16}{c +}{hline 11}{c +}{hline 10}
Strong Democrat {c |}{res}         0 {txt}{c |}{res}       597 
{txt} Not Strong Dem {c |}{res}         0 {txt}{c |}{res}       405 
{txt}       Lean Dem {c |}{res}         0 {txt}{c |}{res}       257 
{txt}           Ind. {c |}{res}         0 {txt}{c |}{res}       330 
{txt}       Lean Rep {c |}{res}         0 {txt}{c |}{res}       252 
{txt} Not Strong Rep {c |}{res}         0 {txt}{c |}{res}       412 
{txt}     Strong Rep {c |}{res}       438 {txt}{c |}{res}       438 
{txt}{hline 16}{c +}{hline 11}{c +}{hline 10}
          Total {c |}{res}       438 {txt}{c |}{res}     2,691 

{txt}
{com}.         tab pid_310

  {txt}PID (W10) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   Democrat {c |}{res}      1,259       46.79       46.79
{txt} Republican {c |}{res}      1,102       40.95       87.74
{txt}Independent {c |}{res}        330       12.26      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,691      100.00
{txt}
{com}.         tab pid_210

  {txt}PID (W10) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
 Republican {c |}{res}      1,102       46.68       46.68
{txt}   Democrat {c |}{res}      1,259       53.32      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,361      100.00
{txt}
{com}.         tab pid_str10

    {txt}PID Str {c |}
      (W10) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       Lean {c |}{res}        509       21.56       21.56
{txt} Not Strong {c |}{res}        817       34.60       56.16
{txt}     Strong {c |}{res}      1,035       43.84      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,361      100.00
{txt}
{com}.         
.         recode partyid10 (1=4) (2=3) (3=2) (4=1) (5=2) (6=3) (7=4), gen(pid_str10_full)
{txt}(2691 differences between partyid10 and pid_str10_full)

{com}.         label var pid_str10 "PID Str (W10)"
{txt}
{com}.         label def full 1 "Ind" 2 "Lean" 3 "Not Strong" 4 "Strong"
{txt}
{com}.         label values pid_str10 full
{txt}
{com}.         
.         
.         
.         
. *W11
.         recode DER08W11 (0=1) (1=2) (2=3) (3=4) (4=5) (5=6) (6=7) (-7=.) (-6=.) (-5=.) (-4=.), gen(partyid11)
{txt}(4240 differences between DER08W11 and partyid11)

{com}.         label var partyid11 "PID (W11)"
{txt}
{com}.         label values partyid11 pi1
{txt}
{com}.         
.         gen pid_311 = .
{txt}(4240 missing values generated)

{com}.         replace pid_311 = 1 if partyid11 >=1 & partyid11 <= 3
{txt}(1281 real changes made)

{com}.         replace pid_311 = 2 if partyid11 >=5 & partyid11 <= 7
{txt}(1123 real changes made)

{com}.         replace pid_311 = 3 if partyid11 == 4
{txt}(260 real changes made)

{com}.         label var pid_311 "PID (W11)"
{txt}
{com}.         label values pid_311 pi2
{txt}
{com}.         
.         gen pid_211 = .
{txt}(4240 missing values generated)

{com}.         replace pid_211 = 1 if pid_311 == 1
{txt}(1281 real changes made)

{com}.         replace pid_211 = 0 if pid_311 == 2
{txt}(1123 real changes made)

{com}.         label var pid_211 "PID (W11)"
{txt}
{com}.         label values pid_211 pi3
{txt}
{com}.         
.         gen pid_str11 = .
{txt}(4240 missing values generated)

{com}.         replace pid_str11 =  1 if partyid11 == 3
{txt}(243 real changes made)

{com}.         replace pid_str11 =  1 if partyid11 == 5
{txt}(222 real changes made)

{com}.         replace pid_str11 =  2 if partyid11 == 2
{txt}(353 real changes made)

{com}.         replace pid_str11 =  2 if partyid11 == 6
{txt}(355 real changes made)

{com}.         replace pid_str11 =  3 if partyid11 == 1
{txt}(685 real changes made)

{com}.         replace pid_str11 =  3 if partyid11 == 7
{txt}(546 real changes made)

{com}.         label var pid_str11 "PID Str (W9)"
{txt}
{com}.         label values pid_str11 str
{txt}
{com}.         
.         tab partyid11

      {txt}PID (W11) {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
Strong Democrat {c |}{res}        685       25.71       25.71
{txt} Not Strong Dem {c |}{res}        353       13.25       38.96
{txt}       Lean Dem {c |}{res}        243        9.12       48.09
{txt}           Ind. {c |}{res}        260        9.76       57.85
{txt}       Lean Rep {c |}{res}        222        8.33       66.18
{txt} Not Strong Rep {c |}{res}        355       13.33       79.50
{txt}     Strong Rep {c |}{res}        546       20.50      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      2,664      100.00
{txt}
{com}.         tab partyid11 DER08W11

                {txt}{c |}       der08w11. DERIVED. R party identification at wave 11
      PID (W11) {c |} 0. Strong  1. Not ve  2. Indepe  3. Indepe  4. Indepe  5. Not ve {c |}     Total
{hline 16}{c +}{hline 66}{c +}{hline 10}
Strong Democrat {c |}{res}       685          0          0          0          0          0 {txt}{c |}{res}       685 
{txt} Not Strong Dem {c |}{res}         0        353          0          0          0          0 {txt}{c |}{res}       353 
{txt}       Lean Dem {c |}{res}         0          0        243          0          0          0 {txt}{c |}{res}       243 
{txt}           Ind. {c |}{res}         0          0          0        260          0          0 {txt}{c |}{res}       260 
{txt}       Lean Rep {c |}{res}         0          0          0          0        222          0 {txt}{c |}{res}       222 
{txt} Not Strong Rep {c |}{res}         0          0          0          0          0        355 {txt}{c |}{res}       355 
{txt}     Strong Rep {c |}{res}         0          0          0          0          0          0 {txt}{c |}{res}       546 
{txt}{hline 16}{c +}{hline 66}{c +}{hline 10}
          Total {c |}{res}       685        353        243        260        222        355 {txt}{c |}{res}     2,664 


                {txt}{c |} der08w11.
                {c |} DERIVED. R
                {c |}   party
                {c |} identifica
                {c |}  tion at
                {c |}  wave 11
      PID (W11) {c |} 6. Strong {c |}     Total
{hline 16}{c +}{hline 11}{c +}{hline 10}
Strong Democrat {c |}{res}         0 {txt}{c |}{res}       685 
{txt} Not Strong Dem {c |}{res}         0 {txt}{c |}{res}       353 
{txt}       Lean Dem {c |}{res}         0 {txt}{c |}{res}       243 
{txt}           Ind. {c |}{res}         0 {txt}{c |}{res}       260 
{txt}       Lean Rep {c |}{res}         0 {txt}{c |}{res}       222 
{txt} Not Strong Rep {c |}{res}         0 {txt}{c |}{res}       355 
{txt}     Strong Rep {c |}{res}       546 {txt}{c |}{res}       546 
{txt}{hline 16}{c +}{hline 11}{c +}{hline 10}
          Total {c |}{res}       546 {txt}{c |}{res}     2,664 

{txt}
{com}.         tab pid_311

  {txt}PID (W11) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   Democrat {c |}{res}      1,281       48.09       48.09
{txt} Republican {c |}{res}      1,123       42.15       90.24
{txt}Independent {c |}{res}        260        9.76      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,664      100.00
{txt}
{com}.         tab pid_211

  {txt}PID (W11) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
 Republican {c |}{res}      1,123       46.71       46.71
{txt}   Democrat {c |}{res}      1,281       53.29      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,404      100.00
{txt}
{com}.         tab pid_str11

    {txt}PID Str {c |}
       (W9) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       Lean {c |}{res}        465       19.34       19.34
{txt} Not Strong {c |}{res}        708       29.45       48.79
{txt}     Strong {c |}{res}      1,231       51.21      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,404      100.00
{txt}
{com}. 
.         recode partyid11 (1=4) (2=3) (3=2) (4=1) (5=2) (6=3) (7=4), gen(pid_str11_full)
{txt}(2664 differences between partyid11 and pid_str11_full)

{com}.         label var pid_str11 "PID Str (W11)"
{txt}
{com}.         label values pid_str11 full
{txt}
{com}.         
.         
.         
. *W17
.         recode DER08W17 (0=1) (1=2) (2=3) (3=4) (4=5) (5=6) (6=7) ///
>                 (-7=.) (-6=.) (-5=.) (-4=.) (-2=.), gen(partyid17)
{txt}(4240 differences between DER08W17 and partyid17)

{com}.         label var partyid17 "PID (W17)"
{txt}
{com}.         label values partyid17 pi1
{txt}
{com}.         
.         gen pid_317 = .
{txt}(4240 missing values generated)

{com}.         replace pid_317 = 1 if partyid17 >=1 & partyid17 <= 3
{txt}(1133 real changes made)

{com}.         replace pid_317 = 2 if partyid17 >=5 & partyid17 <= 7
{txt}(994 real changes made)

{com}.         replace pid_317 = 3 if partyid17 == 4
{txt}(263 real changes made)

{com}.         label var pid_317 "PID (W17)"
{txt}
{com}.         label values pid_317 pi2
{txt}
{com}.         
.         gen pid_217 = .
{txt}(4240 missing values generated)

{com}.         replace pid_217 = 1 if pid_317 == 1
{txt}(1133 real changes made)

{com}.         replace pid_217 = 0 if pid_317 == 2
{txt}(994 real changes made)

{com}.         label var pid_217 "PID (W17)"
{txt}
{com}.         label values pid_217 pi3
{txt}
{com}.         
.         gen pid_str17 = .
{txt}(4240 missing values generated)

{com}.         replace pid_str17 =  1 if partyid17 == 3
{txt}(216 real changes made)

{com}.         replace pid_str17 =  1 if partyid17 == 5
{txt}(232 real changes made)

{com}.         replace pid_str17 =  2 if partyid17 == 2
{txt}(357 real changes made)

{com}.         replace pid_str17 =  2 if partyid17 == 6
{txt}(378 real changes made)

{com}.         replace pid_str17 =  3 if partyid17 == 1
{txt}(560 real changes made)

{com}.         replace pid_str17 =  3 if partyid17 == 7
{txt}(384 real changes made)

{com}.         label var pid_str17 "PID Str (W9)"
{txt}
{com}.         label values pid_str17 str
{txt}
{com}.         
.         tab partyid17

      {txt}PID (W17) {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
Strong Democrat {c |}{res}        560       23.43       23.43
{txt} Not Strong Dem {c |}{res}        357       14.94       38.37
{txt}       Lean Dem {c |}{res}        216        9.04       47.41
{txt}           Ind. {c |}{res}        263       11.00       58.41
{txt}       Lean Rep {c |}{res}        232        9.71       68.12
{txt} Not Strong Rep {c |}{res}        378       15.82       83.93
{txt}     Strong Rep {c |}{res}        384       16.07      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      2,390      100.00
{txt}
{com}.         tab partyid17 DER08W17

                {txt}{c |}       der08w17. DERIVED. R party identification at wave 17
      PID (W17) {c |} 0. Strong  1. Not ve  2. Indepe  3. Indepe  4. Indepe  5. Not ve {c |}     Total
{hline 16}{c +}{hline 66}{c +}{hline 10}
Strong Democrat {c |}{res}       560          0          0          0          0          0 {txt}{c |}{res}       560 
{txt} Not Strong Dem {c |}{res}         0        357          0          0          0          0 {txt}{c |}{res}       357 
{txt}       Lean Dem {c |}{res}         0          0        216          0          0          0 {txt}{c |}{res}       216 
{txt}           Ind. {c |}{res}         0          0          0        263          0          0 {txt}{c |}{res}       263 
{txt}       Lean Rep {c |}{res}         0          0          0          0        232          0 {txt}{c |}{res}       232 
{txt} Not Strong Rep {c |}{res}         0          0          0          0          0        378 {txt}{c |}{res}       378 
{txt}     Strong Rep {c |}{res}         0          0          0          0          0          0 {txt}{c |}{res}       384 
{txt}{hline 16}{c +}{hline 66}{c +}{hline 10}
          Total {c |}{res}       560        357        216        263        232        378 {txt}{c |}{res}     2,390 


                {txt}{c |} der08w17.
                {c |} DERIVED. R
                {c |}   party
                {c |} identifica
                {c |}  tion at
                {c |}  wave 17
      PID (W17) {c |} 6. Strong {c |}     Total
{hline 16}{c +}{hline 11}{c +}{hline 10}
Strong Democrat {c |}{res}         0 {txt}{c |}{res}       560 
{txt} Not Strong Dem {c |}{res}         0 {txt}{c |}{res}       357 
{txt}       Lean Dem {c |}{res}         0 {txt}{c |}{res}       216 
{txt}           Ind. {c |}{res}         0 {txt}{c |}{res}       263 
{txt}       Lean Rep {c |}{res}         0 {txt}{c |}{res}       232 
{txt} Not Strong Rep {c |}{res}         0 {txt}{c |}{res}       378 
{txt}     Strong Rep {c |}{res}       384 {txt}{c |}{res}       384 
{txt}{hline 16}{c +}{hline 11}{c +}{hline 10}
          Total {c |}{res}       384 {txt}{c |}{res}     2,390 

{txt}
{com}.         tab pid_317

  {txt}PID (W17) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   Democrat {c |}{res}      1,133       47.41       47.41
{txt} Republican {c |}{res}        994       41.59       89.00
{txt}Independent {c |}{res}        263       11.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,390      100.00
{txt}
{com}.         tab pid_217

  {txt}PID (W17) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
 Republican {c |}{res}        994       46.73       46.73
{txt}   Democrat {c |}{res}      1,133       53.27      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,127      100.00
{txt}
{com}.         tab pid_str17

    {txt}PID Str {c |}
       (W9) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       Lean {c |}{res}        448       21.06       21.06
{txt} Not Strong {c |}{res}        735       34.56       55.62
{txt}     Strong {c |}{res}        944       44.38      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,127      100.00
{txt}
{com}.         
.         gen partisan_17 = pid_217
{txt}(2113 missing values generated)

{com}.         label var partisan_17 "Co-Partisan to Pres Obama? (W17)"
{txt}
{com}.         label values partisan_17 part
{txt}
{com}.         
.         recode partyid17 (1=4) (2=3) (3=2) (4=1) (5=2) (6=3) (7=4), gen(pid_str17_full)
{txt}(2390 differences between partyid17 and pid_str17_full)

{com}.         label var pid_str17 "PID Str (W10)"
{txt}
{com}.         label values pid_str17 full
{txt}
{com}.         
.                 
. *W19
.         recode DER08W19 (0=1) (1=2) (2=3) (3=4) (4=5) (5=6) (6=7) (-7=.) (-6=.) (-5=.) (-4=.) (-2=.), gen(partyid19)
{txt}(4240 differences between DER08W19 and partyid19)

{com}.         label var partyid19 "PID (W19)"
{txt}
{com}.         label values partyid19 pi1
{txt}
{com}.         
.         gen pid_319 = .
{txt}(4240 missing values generated)

{com}.         replace pid_319 = 1 if partyid19 >=1 & partyid19 <= 3
{txt}(1141 real changes made)

{com}.         replace pid_319 = 2 if partyid19 >=5 & partyid19 <= 7
{txt}(983 real changes made)

{com}.         replace pid_319 = 3 if partyid19 == 4
{txt}(263 real changes made)

{com}.         label var pid_319 "PID (W19)"
{txt}
{com}.         label values pid_319 pi2
{txt}
{com}.         
.         gen pid_219 = .
{txt}(4240 missing values generated)

{com}.         replace pid_219 = 1 if pid_319 == 1
{txt}(1141 real changes made)

{com}.         replace pid_219 = 0 if pid_319 == 2
{txt}(983 real changes made)

{com}.         label var pid_219 "PID (W19)"
{txt}
{com}.         label values pid_219 pi3
{txt}
{com}.         
.         gen pid_str19 = .
{txt}(4240 missing values generated)

{com}.         replace pid_str19 =  1 if partyid19 == 3
{txt}(252 real changes made)

{com}.         replace pid_str19 =  1 if partyid19 == 5
{txt}(246 real changes made)

{com}.         replace pid_str19 =  2 if partyid19 == 2
{txt}(368 real changes made)

{com}.         replace pid_str19 =  2 if partyid19 == 6
{txt}(383 real changes made)

{com}.         replace pid_str19 =  3 if partyid19 == 1
{txt}(521 real changes made)

{com}.         replace pid_str19 =  3 if partyid19 == 7
{txt}(354 real changes made)

{com}.         label var pid_str19 "PID Str (W9)"
{txt}
{com}.         label values pid_str19 str
{txt}
{com}.         
.         tab partyid19

      {txt}PID (W19) {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
Strong Democrat {c |}{res}        521       21.83       21.83
{txt} Not Strong Dem {c |}{res}        368       15.42       37.24
{txt}       Lean Dem {c |}{res}        252       10.56       47.80
{txt}           Ind. {c |}{res}        263       11.02       58.82
{txt}       Lean Rep {c |}{res}        246       10.31       69.12
{txt} Not Strong Rep {c |}{res}        383       16.05       85.17
{txt}     Strong Rep {c |}{res}        354       14.83      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      2,387      100.00
{txt}
{com}.         tab partyid19 DER08W19

                {txt}{c |}       der08w19. DERIVED. R party identification at wave 19
      PID (W19) {c |} 0. Strong  1. Not ve  2. Indepe  3. Indepe  4. Indepe  5. Not ve {c |}     Total
{hline 16}{c +}{hline 66}{c +}{hline 10}
Strong Democrat {c |}{res}       521          0          0          0          0          0 {txt}{c |}{res}       521 
{txt} Not Strong Dem {c |}{res}         0        368          0          0          0          0 {txt}{c |}{res}       368 
{txt}       Lean Dem {c |}{res}         0          0        252          0          0          0 {txt}{c |}{res}       252 
{txt}           Ind. {c |}{res}         0          0          0        263          0          0 {txt}{c |}{res}       263 
{txt}       Lean Rep {c |}{res}         0          0          0          0        246          0 {txt}{c |}{res}       246 
{txt} Not Strong Rep {c |}{res}         0          0          0          0          0        383 {txt}{c |}{res}       383 
{txt}     Strong Rep {c |}{res}         0          0          0          0          0          0 {txt}{c |}{res}       354 
{txt}{hline 16}{c +}{hline 66}{c +}{hline 10}
          Total {c |}{res}       521        368        252        263        246        383 {txt}{c |}{res}     2,387 


                {txt}{c |} der08w19.
                {c |} DERIVED. R
                {c |}   party
                {c |} identifica
                {c |}  tion at
                {c |}  wave 19
      PID (W19) {c |} 6. Strong {c |}     Total
{hline 16}{c +}{hline 11}{c +}{hline 10}
Strong Democrat {c |}{res}         0 {txt}{c |}{res}       521 
{txt} Not Strong Dem {c |}{res}         0 {txt}{c |}{res}       368 
{txt}       Lean Dem {c |}{res}         0 {txt}{c |}{res}       252 
{txt}           Ind. {c |}{res}         0 {txt}{c |}{res}       263 
{txt}       Lean Rep {c |}{res}         0 {txt}{c |}{res}       246 
{txt} Not Strong Rep {c |}{res}         0 {txt}{c |}{res}       383 
{txt}     Strong Rep {c |}{res}       354 {txt}{c |}{res}       354 
{txt}{hline 16}{c +}{hline 11}{c +}{hline 10}
          Total {c |}{res}       354 {txt}{c |}{res}     2,387 

{txt}
{com}.         tab pid_319

  {txt}PID (W19) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   Democrat {c |}{res}      1,141       47.80       47.80
{txt} Republican {c |}{res}        983       41.18       88.98
{txt}Independent {c |}{res}        263       11.02      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,387      100.00
{txt}
{com}.         tab pid_219

  {txt}PID (W19) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
 Republican {c |}{res}        983       46.28       46.28
{txt}   Democrat {c |}{res}      1,141       53.72      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,124      100.00
{txt}
{com}.         tab pid_str19

    {txt}PID Str {c |}
       (W9) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       Lean {c |}{res}        498       23.45       23.45
{txt} Not Strong {c |}{res}        751       35.36       58.80
{txt}     Strong {c |}{res}        875       41.20      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,124      100.00
{txt}
{com}.         
.         recode partyid19 (1=4) (2=3) (3=2) (4=1) (5=2) (6=3) (7=4), gen(pid_str19_full)
{txt}(2387 differences between partyid19 and pid_str19_full)

{com}.         label var pid_str19 "PID Str (W10)"
{txt}
{com}.         label values pid_str19 full
{txt}
{com}.         
.                 
. *Relationship over time
.         pwcorr partyid1 partyid9 partyid10 partyid11 partyid17 partyid19, sig

             {txt}{c |} partyid1 partyid9 party~10 party~11 party~17 party~19
{hline 13}{c +}{hline 54}
    partyid1 {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
    partyid9 {c |} {res}  0.8944   1.0000 
             {txt}{c |}{res}   0.0000
             {txt}{c |}
   partyid10 {c |} {res}  0.8997   0.9207   1.0000 
             {txt}{c |}{res}   0.0000   0.0000
             {txt}{c |}
   partyid11 {c |} {res}  0.8927   0.9173   0.9315   1.0000 
             {txt}{c |}{res}   0.0000   0.0000   0.0000
             {txt}{c |}
   partyid17 {c |} {res}  0.8964   0.9124   0.9221   0.9245   1.0000 
             {txt}{c |}{res}   0.0000   0.0000   0.0000   0.0000
             {txt}{c |}
   partyid19 {c |} {res}  0.8911   0.9090   0.9165   0.9183   0.9370   1.0000 
             {txt}{c |}{res}   0.0000   0.0000   0.0000   0.0000   0.0000
             {txt}{c |}

{com}.         pwcorr pid_str1 pid_str9 pid_str10 pid_str11 pid_str17 pid_str19, sig

             {txt}{c |} pid_str1 pid_str9 pid_s~10 pid_s~11 pid_s~17 pid_s~19
{hline 13}{c +}{hline 54}
    pid_str1 {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
    pid_str9 {c |} {res}  0.6608   1.0000 
             {txt}{c |}{res}   0.0000
             {txt}{c |}
   pid_str10 {c |} {res}  0.6228   0.7394   1.0000 
             {txt}{c |}{res}   0.0000   0.0000
             {txt}{c |}
   pid_str11 {c |} {res}  0.6404   0.7292   0.7538   1.0000 
             {txt}{c |}{res}   0.0000   0.0000   0.0000
             {txt}{c |}
   pid_str17 {c |} {res}  0.6375   0.6689   0.7117   0.6967   1.0000 
             {txt}{c |}{res}   0.0000   0.0000   0.0000   0.0000
             {txt}{c |}
   pid_str19 {c |} {res}  0.6007   0.6746   0.7121   0.6880   0.7483   1.0000 
             {txt}{c |}{res}   0.0000   0.0000   0.0000   0.0000   0.0000
             {txt}{c |}

{com}.                 
.                 
.         tab w1_retro pid_21, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

      Econ {c |}
    Better {c |}
  than 1yr {c |}       PID (W1)
 Ago (W1)? {c |} Republica   Democrat {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
     Worse {c |}{res}       429        621 {txt}{c |}{res}     1,050 
           {txt}{c |}{res}     40.86      59.14 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     63.56      84.03 {txt}{c |}{res}     74.26 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
      Same {c |}{res}       209        108 {txt}{c |}{res}       317 
           {txt}{c |}{res}     65.93      34.07 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     30.96      14.61 {txt}{c |}{res}     22.42 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
    Better {c |}{res}        37         10 {txt}{c |}{res}        47 
           {txt}{c |}{res}     78.72      21.28 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}      5.48       1.35 {txt}{c |}{res}      3.32 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       675        739 {txt}{c |}{res}     1,414 
           {txt}{c |}{res}     47.74      52.26 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}2{txt}) = {res} 80.0663  {txt} Pr = {res}0.000
{txt}
{com}.         tab w6_retro pid_21, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

      Econ {c |}
    Better {c |}
  than 1yr {c |}       PID (W1)
 Ago (W6)? {c |} Republica   Democrat {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
     Worse {c |}{res}       458        561 {txt}{c |}{res}     1,019 
           {txt}{c |}{res}     44.95      55.05 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     79.10      91.22 {txt}{c |}{res}     85.34 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
      Same {c |}{res}       108         50 {txt}{c |}{res}       158 
           {txt}{c |}{res}     68.35      31.65 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     18.65       8.13 {txt}{c |}{res}     13.23 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
    Better {c |}{res}        13          4 {txt}{c |}{res}        17 
           {txt}{c |}{res}     76.47      23.53 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}      2.25       0.65 {txt}{c |}{res}      1.42 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       579        615 {txt}{c |}{res}     1,194 
           {txt}{c |}{res}     48.49      51.51 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}2{txt}) = {res} 35.4138  {txt} Pr = {res}0.000
{txt}
{com}.         tab w10_retro pid_21, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

      Econ {c |}
    Better {c |}
  than 1yr {c |}       PID (W1)
Ago (W10)? {c |} Republica   Democrat {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
     Worse {c |}{res}       535        596 {txt}{c |}{res}     1,131 
           {txt}{c |}{res}     47.30      52.70 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     90.52      96.75 {txt}{c |}{res}     93.70 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
      Same {c |}{res}        53         19 {txt}{c |}{res}        72 
           {txt}{c |}{res}     73.61      26.39 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}      8.97       3.08 {txt}{c |}{res}      5.97 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
    Better {c |}{res}         3          1 {txt}{c |}{res}         4 
           {txt}{c |}{res}     75.00      25.00 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}      0.51       0.16 {txt}{c |}{res}      0.33 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       591        616 {txt}{c |}{res}     1,207 
           {txt}{c |}{res}     48.96      51.04 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}2{txt}) = {res} 19.8363  {txt} Pr = {res}0.000
{txt}
{com}.         tab w11_retro pid_21, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

Econ Worse {c |}
  than 1yr {c |}       PID (W1)
Ago (W11)? {c |} Republica   Democrat {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
     Worse {c |}{res}       536        593 {txt}{c |}{res}     1,129 
           {txt}{c |}{res}     47.48      52.52 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     90.08      96.42 {txt}{c |}{res}     93.31 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
      Same {c |}{res}        55         21 {txt}{c |}{res}        76 
           {txt}{c |}{res}     72.37      27.63 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}      9.24       3.41 {txt}{c |}{res}      6.28 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
    Better {c |}{res}         4          1 {txt}{c |}{res}         5 
           {txt}{c |}{res}     80.00      20.00 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}      0.67       0.16 {txt}{c |}{res}      0.41 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       595        615 {txt}{c |}{res}     1,210 
           {txt}{c |}{res}     49.17      50.83 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}2{txt}) = {res} 19.5631  {txt} Pr = {res}0.000
{txt}
{com}.         tab w10_retro pid_29, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

      Econ {c |}
    Better {c |}
  than 1yr {c |}       PID (W9)
Ago (W10)? {c |} Republica   Democrat {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
     Worse {c |}{res}       935      1,104 {txt}{c |}{res}     2,039 
           {txt}{c |}{res}     45.86      54.14 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     90.86      97.53 {txt}{c |}{res}     94.35 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
      Same {c |}{res}        90         23 {txt}{c |}{res}       113 
           {txt}{c |}{res}     79.65      20.35 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}      8.75       2.03 {txt}{c |}{res}      5.23 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
    Better {c |}{res}         4          5 {txt}{c |}{res}         9 
           {txt}{c |}{res}     44.44      55.56 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}      0.39       0.44 {txt}{c |}{res}      0.42 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}     1,029      1,132 {txt}{c |}{res}     2,161 
           {txt}{c |}{res}     47.62      52.38 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}2{txt}) = {res} 49.0463  {txt} Pr = {res}0.000
{txt}
{com}.         tab w11_retro pid_29, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

Econ Worse {c |}
  than 1yr {c |}       PID (W9)
Ago (W11)? {c |} Republica   Democrat {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
     Worse {c |}{res}       951      1,085 {txt}{c |}{res}     2,036 
           {txt}{c |}{res}     46.71      53.29 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     90.83      96.19 {txt}{c |}{res}     93.61 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
      Same {c |}{res}        90         38 {txt}{c |}{res}       128 
           {txt}{c |}{res}     70.31      29.69 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}      8.60       3.37 {txt}{c |}{res}      5.89 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
    Better {c |}{res}         6          5 {txt}{c |}{res}        11 
           {txt}{c |}{res}     54.55      45.45 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}      0.57       0.44 {txt}{c |}{res}      0.51 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}     1,047      1,128 {txt}{c |}{res}     2,175 
           {txt}{c |}{res}     48.14      51.86 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}2{txt}) = {res} 27.0561  {txt} Pr = {res}0.000
{txt}
{com}.         
.         tab w17_retro pid_21, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

Econ Worse {c |}
 than Jan. {c |}
      2009 {c |}       PID (W1)
    (W17)? {c |} Republica   Democrat {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
     Worse {c |}{res}       331        258 {txt}{c |}{res}       589 
           {txt}{c |}{res}     56.20      43.80 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     61.52      45.74 {txt}{c |}{res}     53.45 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
      Same {c |}{res}       145        197 {txt}{c |}{res}       342 
           {txt}{c |}{res}     42.40      57.60 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     26.95      34.93 {txt}{c |}{res}     31.03 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
    Better {c |}{res}        62        109 {txt}{c |}{res}       171 
           {txt}{c |}{res}     36.26      63.74 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     11.52      19.33 {txt}{c |}{res}     15.52 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       538        564 {txt}{c |}{res}     1,102 
           {txt}{c |}{res}     48.82      51.18 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}2{txt}) = {res} 29.2750  {txt} Pr = {res}0.000
{txt}
{com}.         tab w17_retro pid_29, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

Econ Worse {c |}
 than Jan. {c |}
      2009 {c |}       PID (W9)
    (W17)? {c |} Republica   Democrat {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
     Worse {c |}{res}       587        431 {txt}{c |}{res}     1,018 
           {txt}{c |}{res}     57.66      42.34 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     62.71      42.89 {txt}{c |}{res}     52.45 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
      Same {c |}{res}       252        364 {txt}{c |}{res}       616 
           {txt}{c |}{res}     40.91      59.09 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     26.92      36.22 {txt}{c |}{res}     31.74 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
    Better {c |}{res}        97        210 {txt}{c |}{res}       307 
           {txt}{c |}{res}     31.60      68.40 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     10.36      20.90 {txt}{c |}{res}     15.82 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       936      1,005 {txt}{c |}{res}     1,941 
           {txt}{c |}{res}     48.22      51.78 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}2{txt}) = {res} 83.5148  {txt} Pr = {res}0.000
{txt}
{com}.         tab w19_retro pid_21, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

Econ Worse {c |}
 than Jan. {c |}
      2009 {c |}       PID (W1)
    (W19)? {c |} Republica   Democrat {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
     Worse {c |}{res}       408        237 {txt}{c |}{res}       645 
           {txt}{c |}{res}     63.26      36.74 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     75.98      42.32 {txt}{c |}{res}     58.80 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
      Same {c |}{res}        98        224 {txt}{c |}{res}       322 
           {txt}{c |}{res}     30.43      69.57 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     18.25      40.00 {txt}{c |}{res}     29.35 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
    Better {c |}{res}        31         99 {txt}{c |}{res}       130 
           {txt}{c |}{res}     23.85      76.15 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}      5.77      17.68 {txt}{c |}{res}     11.85 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       537        560 {txt}{c |}{res}     1,097 
           {txt}{c |}{res}     48.95      51.05 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}2{txt}) = {res}129.7833  {txt} Pr = {res}0.000
{txt}
{com}.         tab w19_retro pid_29, row col chi2
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

Econ Worse {c |}
 than Jan. {c |}
      2009 {c |}       PID (W9)
    (W19)? {c |} Republica   Democrat {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
     Worse {c |}{res}       687        418 {txt}{c |}{res}     1,105 
           {txt}{c |}{res}     62.17      37.83 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     73.63      41.39 {txt}{c |}{res}     56.87 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
      Same {c |}{res}       190        402 {txt}{c |}{res}       592 
           {txt}{c |}{res}     32.09      67.91 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     20.36      39.80 {txt}{c |}{res}     30.47 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
    Better {c |}{res}        56        190 {txt}{c |}{res}       246 
           {txt}{c |}{res}     22.76      77.24 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}      6.00      18.81 {txt}{c |}{res}     12.66 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       933      1,010 {txt}{c |}{res}     1,943 
           {txt}{c |}{res}     48.02      51.98 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}2{txt}) = {res}211.6768  {txt} Pr = {res}0.000
{txt}
{com}.                 
.                 
.                 
.                 
.                 *****************************************************
.                 *********Network Size and Disagreement***************
.                 *****************************************************
. 
. *# Names given/asked about
.         tab DER17

       {txt}der17. DERIVED. Number of names {c |}
                    mentioned at W9ZD2 {c |}      Freq.     Percent        Cum.
{hline 39}{c +}{hline 35}
      -6. Not asked, unit non-response {c |}{res}      1,591       37.52       37.52
{txt}                      -1. Inapplicable {c |}{res}        446       10.52       48.04
{txt}                0. mentioned   0 names {c |}{res}         65        1.53       49.58
{txt}                 1. mentioned   1 name {c |}{res}        104        2.45       52.03
{txt}                2. mentioned   2 names {c |}{res}        127        3.00       55.02
{txt}                3. mentioned   3 names {c |}{res}        194        4.58       59.60
{txt}                4. mentioned   4 names {c |}{res}        208        4.91       64.50
{txt}                5. mentioned   5 names {c |}{res}        193        4.55       69.06
{txt}                6. mentioned   6 names {c |}{res}        183        4.32       73.37
{txt}                7. mentioned   7 names {c |}{res}        126        2.97       76.34
{txt}                8. mentioned   8 names {c |}{res}      1,003       23.66      100.00
{txt}{hline 39}{c +}{hline 35}
                                 Total {c |}{res}      4,240      100.00
{txt}
{com}.         gen numgiven = DER17
{txt}
{com}.         replace numgiven = . if numgiven < 0
{txt}(2037 real changes made, 2037 to missing)

{com}.         label var numgiven "Number of Listed Discussants"
{txt}
{com}.         tab numgiven 

  {txt}Number of {c |}
     Listed {c |}
Discussants {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         65        2.95        2.95
{txt}          1 {c |}{res}        104        4.72        7.67
{txt}          2 {c |}{res}        127        5.76       13.44
{txt}          3 {c |}{res}        194        8.81       22.24
{txt}          4 {c |}{res}        208        9.44       31.68
{txt}          5 {c |}{res}        193        8.76       40.44
{txt}          6 {c |}{res}        183        8.31       48.75
{txt}          7 {c |}{res}        126        5.72       54.47
{txt}          8 {c |}{res}      1,003       45.53      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,203      100.00
{txt}
{com}.         summ numgiven, detail

                {txt}Number of Listed Discussants
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        1              0
{txt}10%    {res}        2              0       {txt}Obs         {res}       2203
{txt}25%    {res}        4              0       {txt}Sum of Wgt. {res}       2203

{txt}50%    {res}        7                      {txt}Mean          {res} 5.783477
                        {txt}Largest       Std. Dev.     {res} 2.501382
{txt}75%    {res}        8              8
{txt}90%    {res}        8              8       {txt}Variance      {res} 6.256911
{txt}95%    {res}        8              8       {txt}Skewness      {res}-.7296673
{txt}99%    {res}        8              8       {txt}Kurtosis      {res} 2.222504
{txt}
{com}.                 
.         
.         gen numgiven1 = numgiven
{txt}(2037 missing values generated)

{com}.         replace numgiven1 = 3 if numgiven > 3 & numgiven <=8
{txt}(1713 real changes made)

{com}.         label var numgiven1 "Number of Disc. Asked About"
{txt}
{com}.         tab numgiven1

  {txt}Number of {c |}
Disc. Asked {c |}
      About {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         65        2.95        2.95
{txt}          1 {c |}{res}        104        4.72        7.67
{txt}          2 {c |}{res}        127        5.76       13.44
{txt}          3 {c |}{res}      1,907       86.56      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,203      100.00
{txt}
{com}.         tab numgiven numgiven1

 {txt}Number of {c |}
    Listed {c |}
Discussant {c |}         Number of Disc. Asked About
         s {c |}         0          1          2          3 {c |}     Total
{hline 11}{c +}{hline 44}{c +}{hline 10}
         0 {c |}{res}        65          0          0          0 {txt}{c |}{res}        65 
{txt}         1 {c |}{res}         0        104          0          0 {txt}{c |}{res}       104 
{txt}         2 {c |}{res}         0          0        127          0 {txt}{c |}{res}       127 
{txt}         3 {c |}{res}         0          0          0        194 {txt}{c |}{res}       194 
{txt}         4 {c |}{res}         0          0          0        208 {txt}{c |}{res}       208 
{txt}         5 {c |}{res}         0          0          0        193 {txt}{c |}{res}       193 
{txt}         6 {c |}{res}         0          0          0        183 {txt}{c |}{res}       183 
{txt}         7 {c |}{res}         0          0          0        126 {txt}{c |}{res}       126 
{txt}         8 {c |}{res}         0          0          0      1,003 {txt}{c |}{res}     1,003 
{txt}{hline 11}{c +}{hline 44}{c +}{hline 10}
     Total {c |}{res}        65        104        127      1,907 {txt}{c |}{res}     2,203 

{txt}
{com}.         
.         summ numgiven1 

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 3}numgiven1 {c |}{res}      2203    2.759419    .6740594          0          3
{txt}
{com}.         gen numgiven01 = (numgiven1 - r(min))/(r(max)-r(min))
{txt}(2037 missing values generated)

{com}.         label var numgiven01 "Network Size"
{txt}
{com}.         
. *****Partisan Disagreement
.         
.         /**half of respondents asked whether the discussant was a republican, 
>                 half asked if a Democrat**/
.         
.         foreach var in W9ZD12_1 W9ZD13_1 W9ZD12_2 W9ZD13_2 W9ZD12_3 W9ZD13_3 {c -(}
{txt}  2{com}.                 tab `var'
{txt}  3{com}.                 {c )-}

   {txt}w9zd12_1. Is name1 a Democrat {c |}      Freq.     Percent        Cum.
{hline 33}{c +}{hline 35}
-6. Not asked, unit non-response {c |}{res}      1,474       34.76       34.76
{txt}       -5. Not asked, terminated {c |}{res}        153        3.61       38.37
{txt}                -1. Inapplicable {c |}{res}      1,546       36.46       74.83
{txt}                     1. Democrat {c |}{res}        432       10.19       85.02
{txt}                   2. Republican {c |}{res}        400        9.43       94.46
{txt}                  3. independent {c |}{res}        182        4.29       98.75
{txt}               4. something else {c |}{res}         53        1.25      100.00
{txt}{hline 33}{c +}{hline 35}
                           Total {c |}{res}      4,240      100.00

 {txt}w9zd13_1. Is name1 a Republican {c |}      Freq.     Percent        Cum.
{hline 33}{c +}{hline 35}
-6. Not asked, unit non-response {c |}{res}      1,474       34.76       34.76
{txt}       -5. Not asked, terminated {c |}{res}        180        4.25       39.01
{txt}                -1. Inapplicable {c |}{res}      1,555       36.67       75.68
{txt}                   1. Republican {c |}{res}        382        9.01       84.69
{txt}                     2. Democrat {c |}{res}        432       10.19       94.88
{txt}                  3. independent {c |}{res}        173        4.08       98.96
{txt}               4. something else {c |}{res}         44        1.04      100.00
{txt}{hline 33}{c +}{hline 35}
                           Total {c |}{res}      4,240      100.00

   {txt}w9zd12_2. Is name2 a Democrat {c |}      Freq.     Percent        Cum.
{hline 33}{c +}{hline 35}
-6. Not asked, unit non-response {c |}{res}      1,474       34.76       34.76
{txt}       -5. Not asked, terminated {c |}{res}        153        3.61       38.37
{txt}                -1. Inapplicable {c |}{res}      1,601       37.76       76.13
{txt}                     1. Democrat {c |}{res}        410        9.67       85.80
{txt}                   2. Republican {c |}{res}        361        8.51       94.32
{txt}                  3. independent {c |}{res}        179        4.22       98.54
{txt}               4. something else {c |}{res}         62        1.46      100.00
{txt}{hline 33}{c +}{hline 35}
                           Total {c |}{res}      4,240      100.00

 {txt}w9zd13_2. Is name2 a Republican {c |}      Freq.     Percent        Cum.
{hline 33}{c +}{hline 35}
-6. Not asked, unit non-response {c |}{res}      1,474       34.76       34.76
{txt}       -5. Not asked, terminated {c |}{res}        180        4.25       39.01
{txt}                -1. Inapplicable {c |}{res}      1,607       37.90       76.91
{txt}                   1. Republican {c |}{res}        358        8.44       85.35
{txt}                     2. Democrat {c |}{res}        403        9.50       94.86
{txt}                  3. independent {c |}{res}        163        3.84       98.70
{txt}               4. something else {c |}{res}         55        1.30      100.00
{txt}{hline 33}{c +}{hline 35}
                           Total {c |}{res}      4,240      100.00

   {txt}w9zd12_3. Is name3 a Democrat {c |}      Freq.     Percent        Cum.
{hline 33}{c +}{hline 35}
-6. Not asked, unit non-response {c |}{res}      1,474       34.76       34.76
{txt}       -5. Not asked, terminated {c |}{res}        154        3.63       38.40
{txt}                -1. Inapplicable {c |}{res}      1,665       39.27       77.67
{txt}                     1. Democrat {c |}{res}        407        9.60       87.26
{txt}                   2. Republican {c |}{res}        324        7.64       94.91
{txt}                  3. independent {c |}{res}        156        3.68       98.58
{txt}               4. something else {c |}{res}         60        1.42      100.00
{txt}{hline 33}{c +}{hline 35}
                           Total {c |}{res}      4,240      100.00

 {txt}w9zd13_3. Is name3 a Republican {c |}      Freq.     Percent        Cum.
{hline 33}{c +}{hline 35}
-6. Not asked, unit non-response {c |}{res}      1,474       34.76       34.76
{txt}       -5. Not asked, terminated {c |}{res}        180        4.25       39.01
{txt}                -1. Inapplicable {c |}{res}      1,666       39.29       78.30
{txt}                   1. Republican {c |}{res}        329        7.76       86.06
{txt}                     2. Democrat {c |}{res}        390        9.20       95.26
{txt}                  3. independent {c |}{res}        151        3.56       98.82
{txt}               4. something else {c |}{res}         50        1.18      100.00
{txt}{hline 33}{c +}{hline 35}
                           Total {c |}{res}      4,240      100.00
{txt}
{com}.         
.         *For 12_:
.                 *1 = Dem
.                 *2 = Republican
.                 *3 = ind
.                 *4 = something else
.                 
.         *For 13_: 
.                 *1: Republican
.                 *2 = Dem
.                 *3 = Ind
.                 *4 = something else
.         
.         foreach var in W9ZD12_1 W9ZD12_2 W9ZD12_3 W9ZD13_2 W9ZD12_3 W9ZD13_3  {c -(}
{txt}  2{com}.                 tab `var' if `var' >0
{txt}  3{com}.                 {c )-}

   {txt}w9zd12_1. Is name1 a Democrat {c |}      Freq.     Percent        Cum.
{hline 33}{c +}{hline 35}
                     1. Democrat {c |}{res}        432       40.49       40.49
{txt}                   2. Republican {c |}{res}        400       37.49       77.98
{txt}                  3. independent {c |}{res}        182       17.06       95.03
{txt}               4. something else {c |}{res}         53        4.97      100.00
{txt}{hline 33}{c +}{hline 35}
                           Total {c |}{res}      1,067      100.00

   {txt}w9zd12_2. Is name2 a Democrat {c |}      Freq.     Percent        Cum.
{hline 33}{c +}{hline 35}
                     1. Democrat {c |}{res}        410       40.51       40.51
{txt}                   2. Republican {c |}{res}        361       35.67       76.19
{txt}                  3. independent {c |}{res}        179       17.69       93.87
{txt}               4. something else {c |}{res}         62        6.13      100.00
{txt}{hline 33}{c +}{hline 35}
                           Total {c |}{res}      1,012      100.00

   {txt}w9zd12_3. Is name3 a Democrat {c |}      Freq.     Percent        Cum.
{hline 33}{c +}{hline 35}
                     1. Democrat {c |}{res}        407       42.98       42.98
{txt}                   2. Republican {c |}{res}        324       34.21       77.19
{txt}                  3. independent {c |}{res}        156       16.47       93.66
{txt}               4. something else {c |}{res}         60        6.34      100.00
{txt}{hline 33}{c +}{hline 35}
                           Total {c |}{res}        947      100.00

 {txt}w9zd13_2. Is name2 a Republican {c |}      Freq.     Percent        Cum.
{hline 33}{c +}{hline 35}
                   1. Republican {c |}{res}        358       36.57       36.57
{txt}                     2. Democrat {c |}{res}        403       41.16       77.73
{txt}                  3. independent {c |}{res}        163       16.65       94.38
{txt}               4. something else {c |}{res}         55        5.62      100.00
{txt}{hline 33}{c +}{hline 35}
                           Total {c |}{res}        979      100.00

   {txt}w9zd12_3. Is name3 a Democrat {c |}      Freq.     Percent        Cum.
{hline 33}{c +}{hline 35}
                     1. Democrat {c |}{res}        407       42.98       42.98
{txt}                   2. Republican {c |}{res}        324       34.21       77.19
{txt}                  3. independent {c |}{res}        156       16.47       93.66
{txt}               4. something else {c |}{res}         60        6.34      100.00
{txt}{hline 33}{c +}{hline 35}
                           Total {c |}{res}        947      100.00

 {txt}w9zd13_3. Is name3 a Republican {c |}      Freq.     Percent        Cum.
{hline 33}{c +}{hline 35}
                   1. Republican {c |}{res}        329       35.76       35.76
{txt}                     2. Democrat {c |}{res}        390       42.39       78.15
{txt}                  3. independent {c |}{res}        151       16.41       94.57
{txt}               4. something else {c |}{res}         50        5.43      100.00
{txt}{hline 33}{c +}{hline 35}
                           Total {c |}{res}        920      100.00
{txt}
{com}.                 
.         *Creating PID Scale, inc. leaners*
.                 *1 = Democrat, 2 = Republican; 3 = Ind
.                 
.                 label def dpid 1 "Democrat" 2 "Republican" 3 "Independent"
{txt}
{com}.                 
.                 
.                 gen d1_pid = . 
{txt}(4240 missing values generated)

{com}.                 replace d1_pid = 1 if W9ZD12_1 == 1 
{txt}(432 real changes made)

{com}.                 replace d1_pid = 1 if W9ZD12_1 == 3 & W9ZD16_1 == 1
{txt}(57 real changes made)

{com}.                 replace d1_pid = 1 if W9ZD12_1 == 4 & W9ZD16_1 == 1
{txt}(10 real changes made)

{com}.                 replace d1_pid = 2 if W9ZD12_1 == 2
{txt}(400 real changes made)

{com}.                 replace d1_pid = 2 if W9ZD12_1 == 3 & W9ZD16_1 == 2
{txt}(43 real changes made)

{com}.                 replace d1_pid = 2 if W9ZD12_1 == 4 & W9ZD16_1 == 2
{txt}(7 real changes made)

{com}.                 replace d1_pid = 3 if W9ZD12_1 == 3 & W9ZD16_1 == 3
{txt}(73 real changes made)

{com}.                 replace d1_pid = 3 if W9ZD12_1 == 4 & W9ZD16_1 == 3
{txt}(34 real changes made)

{com}.                 replace d1_pid = 2 if W9ZD13_1 == 1 
{txt}(382 real changes made)

{com}.                 replace d1_pid = 2 if W9ZD13_1 == 3 & W9ZD16_1 == 1
{txt}(50 real changes made)

{com}.                 replace d1_pid = 2 if W9ZD13_1 == 4 & W9ZD16_1 == 1
{txt}(9 real changes made)

{com}.                 replace d1_pid = 1 if W9ZD13_1 == 2
{txt}(432 real changes made)

{com}.                 replace d1_pid = 1 if W9ZD13_1 == 3 & W9ZD16_1 == 2
{txt}(44 real changes made)

{com}.                 replace d1_pid = 1 if W9ZD13_1 == 4 & W9ZD16_1 == 2
{txt}(8 real changes made)

{com}.                 replace d1_pid = 3 if W9ZD13_1 == 3 & W9ZD16_1 == 3
{txt}(79 real changes made)

{com}.                 replace d1_pid = 3 if W9ZD13_1 == 4 & W9ZD16_1 == 3
{txt}(27 real changes made)

{com}.                 
.                 
.                 gen d2_pid = . 
{txt}(4240 missing values generated)

{com}.                 replace d2_pid = 1 if W9ZD12_2 == 1 
{txt}(410 real changes made)

{com}.                 replace d2_pid = 1 if W9ZD12_2 == 3 & W9ZD16_2 == 1
{txt}(55 real changes made)

{com}.                 replace d2_pid = 1 if W9ZD12_2 == 4 & W9ZD16_2 == 1
{txt}(12 real changes made)

{com}.                 
.                 replace d2_pid = 2 if W9ZD12_2 == 2
{txt}(361 real changes made)

{com}.                 replace d2_pid = 2 if W9ZD12_2 == 3 & W9ZD16_2 == 2
{txt}(44 real changes made)

{com}.                 replace d2_pid = 2 if W9ZD12_2 == 4 & W9ZD16_2 == 2
{txt}(7 real changes made)

{com}. 
.                 replace d2_pid = 3 if W9ZD12_2 == 3 & W9ZD16_2 == 3
{txt}(75 real changes made)

{com}.                 replace d2_pid = 3 if W9ZD12_2 == 4 & W9ZD16_2 == 3
{txt}(40 real changes made)

{com}. 
.                 replace d2_pid = 2 if W9ZD13_2 == 1 
{txt}(358 real changes made)

{com}.                 replace d2_pid = 2 if W9ZD13_2 == 3 & W9ZD16_2 == 1
{txt}(46 real changes made)

{com}.                 replace d2_pid = 2 if W9ZD13_2 == 4 & W9ZD16_2 == 1
{txt}(8 real changes made)

{com}.                 
.                 replace d2_pid = 1 if W9ZD13_2 == 2
{txt}(403 real changes made)

{com}.                 replace d2_pid = 1 if W9ZD13_2 == 3 & W9ZD16_2 == 2
{txt}(47 real changes made)

{com}.                 replace d2_pid = 1 if W9ZD13_2 == 4 & W9ZD16_2 == 2
{txt}(6 real changes made)

{com}. 
.                 replace d2_pid = 3 if W9ZD13_2 == 3 & W9ZD16_2 == 3
{txt}(70 real changes made)

{com}.                 replace d2_pid = 3 if W9ZD13_2 == 4 & W9ZD16_2 == 3
{txt}(41 real changes made)

{com}.                 
.                 
.                 gen d3_pid = . 
{txt}(4240 missing values generated)

{com}.                 replace d3_pid = 1 if W9ZD12_3 == 1 
{txt}(407 real changes made)

{com}.                 replace d3_pid = 1 if W9ZD12_3 == 3 & W9ZD16_3 == 1
{txt}(46 real changes made)

{com}.                 replace d3_pid = 1 if W9ZD12_3 == 4 & W9ZD16_3 == 1
{txt}(13 real changes made)

{com}.                 
.                 replace d3_pid = 2 if W9ZD12_3 == 2
{txt}(324 real changes made)

{com}.                 replace d3_pid = 2 if W9ZD12_3 == 3 & W9ZD16_3 == 2
{txt}(37 real changes made)

{com}.                 replace d3_pid = 2 if W9ZD12_3 == 4 & W9ZD16_3 == 2
{txt}(5 real changes made)

{com}. 
.                 replace d3_pid = 3 if W9ZD12_3 == 3 & W9ZD16_3 == 3
{txt}(67 real changes made)

{com}.                 replace d3_pid = 3 if W9ZD12_3 == 4 & W9ZD16_3 == 3
{txt}(42 real changes made)

{com}. 
.                 replace d3_pid = 2 if W9ZD13_3 == 1 
{txt}(329 real changes made)

{com}.                 replace d3_pid = 2 if W9ZD13_3 == 3 & W9ZD16_3 == 1
{txt}(47 real changes made)

{com}.                 replace d3_pid = 2 if W9ZD13_3 == 4 & W9ZD16_3 == 1
{txt}(4 real changes made)

{com}.                 
.                 replace d3_pid = 1 if W9ZD13_3 == 2
{txt}(390 real changes made)

{com}.                 replace d3_pid = 1 if W9ZD13_3 == 3 & W9ZD16_3 == 2
{txt}(45 real changes made)

{com}.                 replace d3_pid = 1 if W9ZD13_3 == 4 & W9ZD16_3 == 2
{txt}(11 real changes made)

{com}. 
.                 replace d3_pid = 3 if W9ZD13_3 == 3 & W9ZD16_3 == 3
{txt}(58 real changes made)

{com}.                 replace d3_pid = 3 if W9ZD13_3 == 4 & W9ZD16_3 == 3
{txt}(34 real changes made)

{com}.                 
.                 label values d1_pid d2_pid d3_pid  dpid
{txt}
{com}.                 
.         *Agreement
.                 *1 = Dem/Dem, Ind/Ind, Rep/Rep
.                 *0 = Dem/Rep, Dem/Something Else, Dem/Ind
.                 *0= Rep/Dem,. Rep/Something Else, rep/Ind
.                 *0 = Ind/Dem, Ind/Rep
.                 label def ag 1 "Agree" 0 "Disagree" 
{txt}
{com}.                 
.                 gen d1_agree = . 
{txt}(4240 missing values generated)

{com}.                 replace d1_agree = 1 if pid_39 == 1 & d1_pid == 1
{txt}(706 real changes made)

{com}.                 replace d1_agree = 1 if pid_39 == 2 & d1_pid == 2
{txt}(616 real changes made)

{com}.                 replace d1_agree = 1 if pid_39 == 3 & d1_pid == 3
{txt}(75 real changes made)

{com}.                 replace d1_agree = 0 if pid_39 == 1 & d1_pid == 2
{txt}(238 real changes made)

{com}.                 replace d1_agree = 0 if pid_39 == 1 & d1_pid == 3
{txt}(63 real changes made)

{com}.                 replace d1_agree = 0 if pid_39 == 2 & d1_pid == 1
{txt}(214 real changes made)

{com}.                 replace d1_agree = 0 if pid_39 == 2 & d1_pid == 3
{txt}(75 real changes made)

{com}.                 replace d1_agree = 0 if pid_39 == 3 & d1_pid == 1
{txt}(63 real changes made)

{com}.                 replace d1_agree = 0 if pid_39 == 3 & d1_pid == 2
{txt}(37 real changes made)

{com}.                 label var d1_agree "D1 Agree?"
{txt}
{com}.                 label values d1_agree ag
{txt}
{com}.                 
. 
.                 gen d2_agree = .
{txt}(4240 missing values generated)

{com}.                 replace d2_agree = 1 if pid_39 == 1 & d2_pid == 1
{txt}(654 real changes made)

{com}.                 replace d2_agree = 1 if pid_39 == 2 & d2_pid == 2
{txt}(560 real changes made)

{com}.                 replace d2_agree = 1 if pid_39 == 3 & d2_pid == 3
{txt}(65 real changes made)

{com}.                 
.                 replace d2_agree = 0 if pid_39 == 1 & d2_pid == 2
{txt}(223 real changes made)

{com}.                 replace d2_agree = 0 if pid_39 == 1 & d2_pid == 3
{txt}(83 real changes made)

{com}.                 replace d2_agree = 0 if pid_39 == 2 & d2_pid == 1
{txt}(224 real changes made)

{com}.                 replace d2_agree = 0 if pid_39 == 2 & d2_pid == 3
{txt}(78 real changes made)

{com}.                 replace d2_agree = 0 if pid_39 == 3 & d2_pid == 1
{txt}(55 real changes made)

{com}.                 replace d2_agree = 0 if pid_39 == 3 & d2_pid == 2
{txt}(41 real changes made)

{com}.                         
.                 label var d2_agree "D2 Agree?"
{txt}
{com}.                 label values d2_agree ag
{txt}
{com}.                 
.                 
.                 gen d3_agree = .
{txt}(4240 missing values generated)

{com}.                 replace d3_agree = 1 if pid_39 == 1 & d3_pid == 1
{txt}(625 real changes made)

{com}.                 replace d3_agree = 1 if pid_39 == 2 & d3_pid == 2
{txt}(506 real changes made)

{com}.                 replace d3_agree = 1 if pid_39 == 3 & d3_pid == 3
{txt}(51 real changes made)

{com}.                 
.                 replace d3_agree = 0 if pid_39 == 1 & d3_pid == 2
{txt}(204 real changes made)

{com}.                 replace d3_agree = 0 if pid_39 == 1 & d3_pid == 3
{txt}(70 real changes made)

{com}.                 replace d3_agree = 0 if pid_39 == 2 & d3_pid == 1
{txt}(231 real changes made)

{com}.                 replace d3_agree = 0 if pid_39 == 2 & d3_pid == 3
{txt}(80 real changes made)

{com}.                 replace d3_agree = 0 if pid_39 == 3 & d3_pid == 1
{txt}(56 real changes made)

{com}.                 replace d3_agree = 0 if pid_39 == 3 & d3_pid == 2
{txt}(36 real changes made)

{com}.                 label var d3_agree "D3 Agree?"
{txt}
{com}.                 label values d3_agree ag
{txt}
{com}.                 
.                 tab d1_agree

  {txt}D1 Agree? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   Disagree {c |}{res}        690       33.06       33.06
{txt}      Agree {c |}{res}      1,397       66.94      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,087      100.00
{txt}
{com}.                 tab d2_agree

  {txt}D2 Agree? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   Disagree {c |}{res}        704       35.50       35.50
{txt}      Agree {c |}{res}      1,279       64.50      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,983      100.00
{txt}
{com}.                 tab d3_agree

  {txt}D3 Agree? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   Disagree {c |}{res}        677       36.42       36.42
{txt}      Agree {c |}{res}      1,182       63.58      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,859      100.00
{txt}
{com}.                 tab d1_agree d2_agree, row col
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

           {c |}       D2 Agree?
 D1 Agree? {c |}  Disagree      Agree {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
  Disagree {c |}{res}       358        289 {txt}{c |}{res}       647 
           {txt}{c |}{res}     55.33      44.67 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     51.07      22.67 {txt}{c |}{res}     32.74 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Agree {c |}{res}       343        986 {txt}{c |}{res}     1,329 
           {txt}{c |}{res}     25.81      74.19 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     48.93      77.33 {txt}{c |}{res}     67.26 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       701      1,275 {txt}{c |}{res}     1,976 
           {txt}{c |}{res}     35.48      64.52 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}
{com}.                 tab d1_agree d3_agree, row col
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

           {c |}       D3 Agree?
 D1 Agree? {c |}  Disagree      Agree {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
  Disagree {c |}{res}       323        283 {txt}{c |}{res}       606 
           {txt}{c |}{res}     53.30      46.70 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     48.07      24.00 {txt}{c |}{res}     32.74 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Agree {c |}{res}       349        896 {txt}{c |}{res}     1,245 
           {txt}{c |}{res}     28.03      71.97 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     51.93      76.00 {txt}{c |}{res}     67.26 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       672      1,179 {txt}{c |}{res}     1,851 
           {txt}{c |}{res}     36.30      63.70 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}
{com}.                 tab d2_agree d3_agree, row col
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

           {c |}       D3 Agree?
 D2 Agree? {c |}  Disagree      Agree {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
  Disagree {c |}{res}       377        281 {txt}{c |}{res}       658 
           {txt}{c |}{res}     57.29      42.71 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     55.93      23.85 {txt}{c |}{res}     35.53 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Agree {c |}{res}       297        897 {txt}{c |}{res}     1,194 
           {txt}{c |}{res}     24.87      75.13 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}     44.07      76.15 {txt}{c |}{res}     64.47 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       674      1,178 {txt}{c |}{res}     1,852 
           {txt}{c |}{res}     36.39      63.61 {txt}{c |}{res}    100.00 
           {txt}{c |}{res}    100.00     100.00 {txt}{c |}{res}    100.00 

{txt}
{com}.         
.         *Disagreement
.                 *0 = Dem/Dem, Ind/Ind, Rep/Rep
.                 *1 = Dem/Rep, Dem/Something Else, Dem/Ind
.                 *1= Rep/Dem,. Rep/Something Else, rep/Ind
.                 *1 = Ind/Dem, Ind/Rep
.                 
.                 label def disag1 1 "Disagree" 0 "Aggree" 
{txt}
{com}. 
.                 omscore d1_agree
{txt}Reverse recoding ok. New variabele = rr_d1_agree

{com}.                 rename rr_d1_agree d1_disagree
{res}{txt}
{com}.                 label var d1_disagree "D1 Agree?"
{txt}
{com}.                 label values d1_disagree disag1
{txt}
{com}.                 
.                 omscore d2_agree
{txt}Reverse recoding ok. New variabele = rr_d2_agree

{com}.                 rename rr_d2_agree d2_disagree          
{res}{txt}
{com}.                 label var d2_disagree "D2 Agree?"
{txt}
{com}.                 label values d2_disagree disag1
{txt}
{com}.                 
.                 omscore d3_agree
{txt}Reverse recoding ok. New variabele = rr_d3_agree

{com}.                 rename rr_d3_agree d3_disagree
{res}{txt}
{com}.                 label var d3_disagree "D3 Agree?"
{txt}
{com}.                 label values d3_disagree disag1
{txt}
{com}.                 
.                 
.                 tab d1_agree d1_disagree

           {txt}{c |}       D1 Agree?
 D1 Agree? {c |}    Aggree   Disagree {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
  Disagree {c |}{res}         0        690 {txt}{c |}{res}       690 
{txt}     Agree {c |}{res}     1,397          0 {txt}{c |}{res}     1,397 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}     1,397        690 {txt}{c |}{res}     2,087 

{txt}
{com}. 
.                 
.         *Summary and Average
.         *Summary Agreement
.                 egen pid_agree = rowtotal(d1_agree d2_agree d3_agree), missing
{txt}(2144 missing values generated)

{com}.         *Disagreement
.                 egen pid_disagree = rowtotal(d1_disagree d2_disagree d3_disagree), missing
{txt}(2144 missing values generated)

{com}.         
.         *Summary Scale
.                         *See Lupton and Thornton: Exposure = D - A
.                         gen disagree_total = pid_disagree - pid_agree
{txt}(2144 missing values generated)

{com}.                         label var disagree_total "Network Disagreement"
{txt}
{com}.                 *Divided by network size
.                         *See Lupton and Thonrton: (D-A)/(D+A)
.                         gen disagree_avg = [pid_disagree - pid_agree]/[pid_disagree + pid_agree]
{txt}(2144 missing values generated)

{com}.                         label var disagree_avg "Network Disagreement"
{txt}
{com}.                 
.                 
.         *Diversity Measure*
.                 *From Nir (2005): [(Agree+Disagree)/2] - |A-D|
.                         gen network_ambiv = [(pid_agree+pid_disagree)/2] - abs(pid_agree - pid_disagree)
{txt}(2144 missing values generated)

{com}.                         label var network_ambiv "Network Political Diversity"
{txt}
{com}.                 
.                         summ network_ambiv

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
network_am~v {c |}{res}      2096   -.5126431    .9714087       -1.5          1
{txt}
{com}.                         gen network_ambiv01=(network_ambiv - r(min))/(r(max)-r(min))
{txt}(2144 missing values generated)

{com}.                         label var network_ambiv01 "Network Political Diversity" 
{txt}
{com}.                 
. 
.         
. *General Agreement
.         label def gendifference 1 "Not Different at All" 2 "Slightly Different" 3 "Moderately Different" 4 "Very Different" 5 "Extremely Different"
{txt}
{com}.         gen gendiff1 = . 
{txt}(4240 missing values generated)

{com}.         replace gendiff1 = 1 if W9ZD9_1 == 5
{txt}(588 real changes made)

{com}.         replace gendiff1 = 2 if W9ZD9_1 == 4
{txt}(829 real changes made)

{com}.         replace gendiff1 = 3 if W9ZD9_1 == 3
{txt}(431 real changes made)

{com}.         replace gendiff1 = 4 if W9ZD9_1 == 2
{txt}(186 real changes made)

{com}.         replace gendiff1 = 5 if W9ZD9_1 == 1
{txt}(82 real changes made)

{com}.         label var gendiff1 "General Difference with Disc. 1"
{txt}
{com}.         label values gendiff1 gendifference
{txt}
{com}.         tab gendiff1 W9ZD9_1

  {txt}General Difference {c |}  w9zd9_1. Difference in opinions between R and name1
        with Disc. 1 {c |} 1. Extrem  2. Very d  3. Modera  4. Slight  5. Not di {c |}     Total
{hline 21}{c +}{hline 55}{c +}{hline 10}
Not Different at All {c |}{res}         0          0          0          0        588 {txt}{c |}{res}       588 
{txt}  Slightly Different {c |}{res}         0          0          0        829          0 {txt}{c |}{res}       829 
{txt}Moderately Different {c |}{res}         0          0        431          0          0 {txt}{c |}{res}       431 
{txt}      Very Different {c |}{res}         0        186          0          0          0 {txt}{c |}{res}       186 
{txt} Extremely Different {c |}{res}        82          0          0          0          0 {txt}{c |}{res}        82 
{txt}{hline 21}{c +}{hline 55}{c +}{hline 10}
               Total {c |}{res}        82        186        431        829        588 {txt}{c |}{res}     2,116 

{txt}
{com}.         
.         
.         gen gendiff2 = . 
{txt}(4240 missing values generated)

{com}.         replace gendiff2 = 1 if W9ZD9_2 == 5
{txt}(560 real changes made)

{com}.         replace gendiff2 = 2 if W9ZD9_2 == 4
{txt}(742 real changes made)

{com}.         replace gendiff2 = 3 if W9ZD9_2 == 3
{txt}(456 real changes made)

{com}.         replace gendiff2 = 4 if W9ZD9_2 == 2
{txt}(165 real changes made)

{com}.         replace gendiff2 = 5 if W9ZD9_2 == 1
{txt}(89 real changes made)

{com}.         label var gendiff2 "General Difference with Disc. 2"
{txt}
{com}.         label values gendiff2 gendifference
{txt}
{com}.                 tab gendiff2 W9ZD9_2

  {txt}General Difference {c |}  w9zd9_2. Difference in opinions between R and name2
        with Disc. 2 {c |} 1. Extrem  2. Very d  3. Modera  4. Slight  5. Not di {c |}     Total
{hline 21}{c +}{hline 55}{c +}{hline 10}
Not Different at All {c |}{res}         0          0          0          0        560 {txt}{c |}{res}       560 
{txt}  Slightly Different {c |}{res}         0          0          0        742          0 {txt}{c |}{res}       742 
{txt}Moderately Different {c |}{res}         0          0        456          0          0 {txt}{c |}{res}       456 
{txt}      Very Different {c |}{res}         0        165          0          0          0 {txt}{c |}{res}       165 
{txt} Extremely Different {c |}{res}        89          0          0          0          0 {txt}{c |}{res}        89 
{txt}{hline 21}{c +}{hline 55}{c +}{hline 10}
               Total {c |}{res}        89        165        456        742        560 {txt}{c |}{res}     2,012 

{txt}
{com}. 
.         
.         gen gendiff3 = . 
{txt}(4240 missing values generated)

{com}.         replace gendiff3 = 1 if W9ZD9_3 == 5
{txt}(491 real changes made)

{com}.         replace gendiff3 = 2 if W9ZD9_3 == 4
{txt}(698 real changes made)

{com}.         replace gendiff3 = 3 if W9ZD9_3 == 3
{txt}(449 real changes made)

{com}.         replace gendiff3 = 4 if W9ZD9_3 == 2
{txt}(156 real changes made)

{com}.         replace gendiff3 = 5 if W9ZD9_3 == 1
{txt}(88 real changes made)

{com}.         label var gendiff3 "General Difference with Disc. 3"
{txt}
{com}.         label values gendiff3 gendifference
{txt}
{com}.         tab gendiff3 W9ZD9_3

  {txt}General Difference {c |}  w9zd9_3. Difference in opinions between R and name3
        with Disc. 3 {c |} 1. Extrem  2. Very d  3. Modera  4. Slight  5. Not di {c |}     Total
{hline 21}{c +}{hline 55}{c +}{hline 10}
Not Different at All {c |}{res}         0          0          0          0        491 {txt}{c |}{res}       491 
{txt}  Slightly Different {c |}{res}         0          0          0        698          0 {txt}{c |}{res}       698 
{txt}Moderately Different {c |}{res}         0          0        449          0          0 {txt}{c |}{res}       449 
{txt}      Very Different {c |}{res}         0        156          0          0          0 {txt}{c |}{res}       156 
{txt} Extremely Different {c |}{res}        88          0          0          0          0 {txt}{c |}{res}        88 
{txt}{hline 21}{c +}{hline 55}{c +}{hline 10}
               Total {c |}{res}        88        156        449        698        491 {txt}{c |}{res}     1,882 

{txt}
{com}.         egen gendiff = rowmean(gendiff1 gendiff2 gendiff3)
{txt}(2123 missing values generated)

{com}.         label var gendiff "General Disagreement"
{txt}
{com}.         tab gendiff1

  {txt}General Difference {c |}
        with Disc. 1 {c |}      Freq.     Percent        Cum.
{hline 21}{c +}{hline 35}
Not Different at All {c |}{res}        588       27.79       27.79
{txt}  Slightly Different {c |}{res}        829       39.18       66.97
{txt}Moderately Different {c |}{res}        431       20.37       87.33
{txt}      Very Different {c |}{res}        186        8.79       96.12
{txt} Extremely Different {c |}{res}         82        3.88      100.00
{txt}{hline 21}{c +}{hline 35}
               Total {c |}{res}      2,116      100.00
{txt}
{com}.         tab gendiff2

  {txt}General Difference {c |}
        with Disc. 2 {c |}      Freq.     Percent        Cum.
{hline 21}{c +}{hline 35}
Not Different at All {c |}{res}        560       27.83       27.83
{txt}  Slightly Different {c |}{res}        742       36.88       64.71
{txt}Moderately Different {c |}{res}        456       22.66       87.38
{txt}      Very Different {c |}{res}        165        8.20       95.58
{txt} Extremely Different {c |}{res}         89        4.42      100.00
{txt}{hline 21}{c +}{hline 35}
               Total {c |}{res}      2,012      100.00
{txt}
{com}.         tab gendiff3

  {txt}General Difference {c |}
        with Disc. 3 {c |}      Freq.     Percent        Cum.
{hline 21}{c +}{hline 35}
Not Different at All {c |}{res}        491       26.09       26.09
{txt}  Slightly Different {c |}{res}        698       37.09       63.18
{txt}Moderately Different {c |}{res}        449       23.86       87.04
{txt}      Very Different {c |}{res}        156        8.29       95.32
{txt} Extremely Different {c |}{res}         88        4.68      100.00
{txt}{hline 21}{c +}{hline 35}
               Total {c |}{res}      1,882      100.00
{txt}
{com}.         
. 
. *Relationship, General and Partisan*
.         pwcorr disagree_total disagree_avg gendiff, sig

             {txt}{c |} disagr~l disagr~g  gendiff
{hline 13}{c +}{hline 27}
disagree_t~l {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
disagree_avg {c |} {res}  0.9729   1.0000 
             {txt}{c |}{res}   0.0000
             {txt}{c |}
     gendiff {c |} {res}  0.4291   0.4326   1.0000 
             {txt}{c |}{res}   0.0000   0.0000
             {txt}{c |}

{com}.         ttest gendiff1, by(d1_agree)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Disagree {c |}{res}{col 12}    690{col 22} 2.876812{col 34} .0428406{col 46} 1.125331{col 58} 2.792698{col 70} 2.960925
   {txt}Agree {c |}{res}{col 12}   1394{col 22}   1.8967{col 34} .0233322{col 46} .8711392{col 58}  1.85093{col 70}  1.94247
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}   2084{col 22} 2.221209{col 34} .0233807{col 46} 1.067349{col 58} 2.175357{col 70} 2.267061
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .9801115{col 34} .0448118{col 58} .8922309{col 70} 1.067992
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Disagree{txt}) - mean({res}Agree{txt})                           t = {res} 21.8717
{txt}Ho: diff = 0                                     degrees of freedom = {res}    2082

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}.         ttest gendiff2, by(d2_agree)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Disagree {c |}{res}{col 12}    704{col 22} 2.882102{col 34} .0430967{col 46} 1.143486{col 58} 2.797489{col 70} 2.966716
   {txt}Agree {c |}{res}{col 12}   1278{col 22} 1.898279{col 34} .0242886{col 46} .8682949{col 58} 1.850629{col 70} 1.945928
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}   1982{col 22}  2.24773{col 34} .0243152{col 46} 1.082504{col 58} 2.200044{col 70} 2.295416
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .9838237{col 34}  .045759{col 58} .8940829{col 70} 1.073564
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Disagree{txt}) - mean({res}Agree{txt})                           t = {res} 21.5001
{txt}Ho: diff = 0                                     degrees of freedom = {res}    1980

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}.         ttest gendiff3, by(d3_agree)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Disagree {c |}{res}{col 12}    677{col 22} 2.929099{col 34} .0425504{col 46} 1.107129{col 58} 2.845552{col 70} 3.012646
   {txt}Agree {c |}{res}{col 12}   1182{col 22} 1.914552{col 34} .0255092{col 46} .8770137{col 58} 1.864503{col 70}   1.9646
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}   1859{col 22} 2.284024{col 34} .0251229{col 46} 1.083201{col 58} 2.234752{col 70} 2.333296
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 1.014547{col 34} .0466151{col 58} .9231239{col 70} 1.105971
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Disagree{txt}) - mean({res}Agree{txt})                           t = {res} 21.7644
{txt}Ho: diff = 0                                     degrees of freedom = {res}    1857

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. 
. *Combined (old)
.                 gen d1_both = d1_disagree + gendiff1
{txt}(2156 missing values generated)

{com}.                 gen d2_both = d2_disagree + gendiff2
{txt}(2258 missing values generated)

{com}.                 gen d3_both = d3_disagree + gendiff3
{txt}(2381 missing values generated)

{com}.                 tab d1_both

    {txt}d1_both {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        508       24.38       24.38
{txt}          2 {c |}{res}        675       32.39       56.77
{txt}          3 {c |}{res}        426       20.44       77.21
{txt}          4 {c |}{res}        255       12.24       89.44
{txt}          5 {c |}{res}        157        7.53       96.98
{txt}          6 {c |}{res}         63        3.02      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,084      100.00
{txt}
{com}.                 tab d2_both

    {txt}d2_both {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        467       23.56       23.56
{txt}          2 {c |}{res}        629       31.74       55.30
{txt}          3 {c |}{res}        389       19.63       74.92
{txt}          4 {c |}{res}        293       14.78       89.71
{txt}          5 {c |}{res}        129        6.51       96.22
{txt}          6 {c |}{res}         75        3.78      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,982      100.00
{txt}
{com}.                 tab d3_both

    {txt}d3_both {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        422       22.70       22.70
{txt}          2 {c |}{res}        571       30.72       53.42
{txt}          3 {c |}{res}        384       20.66       74.07
{txt}          4 {c |}{res}        271       14.58       88.65
{txt}          5 {c |}{res}        143        7.69       96.34
{txt}          6 {c |}{res}         68        3.66      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,859      100.00
{txt}
{com}.                 
.                 egen dis_both = rowmean(d1_both d2_both d3_both)
{txt}(2146 missing values generated)

{com}.                 label var dis_both "Index of Network Disagreement"
{txt}
{com}.                 summ dis_both, detail

                {txt}Index of Network Disagreement
{hline 61}
      Percentiles      Smallest
 1%    {res}        1              1
{txt} 5%    {res}        1              1
{txt}10%    {res} 1.333333              1       {txt}Obs         {res}       2094
{txt}25%    {res}        2              1       {txt}Sum of Wgt. {res}       2094

{txt}50%    {res} 2.666667                      {txt}Mean          {res} 2.598615
                        {txt}Largest       Std. Dev.     {res} 1.000358
{txt}75%    {res} 3.333333              6
{txt}90%    {res}        4              6       {txt}Variance      {res} 1.000715
{txt}95%    {res} 4.333333              6       {txt}Skewness      {res} .3907251
{txt}99%    {res}        5              6       {txt}Kurtosis      {res} 2.822583
{txt}
{com}.                 tab dis_both

   {txt}Index of {c |}
    Network {c |}
Disagreemen {c |}
          t {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        185        8.83        8.83
{txt}   1.333333 {c |}{res}        117        5.59       14.42
{txt}        1.5 {c |}{res}         11        0.53       14.95
{txt}   1.666667 {c |}{res}        164        7.83       22.78
{txt}          2 {c |}{res}        303       14.47       37.25
{txt}   2.333333 {c |}{res}        228       10.89       48.14
{txt}        2.5 {c |}{res}         23        1.10       49.24
{txt}   2.666667 {c |}{res}        215       10.27       59.50
{txt}          3 {c |}{res}        279       13.32       72.83
{txt}   3.333333 {c |}{res}        162        7.74       80.56
{txt}        3.5 {c |}{res}         15        0.72       81.28
{txt}   3.666667 {c |}{res}        157        7.50       88.78
{txt}          4 {c |}{res}        103        4.92       93.70
{txt}   4.333333 {c |}{res}         55        2.63       96.32
{txt}        4.5 {c |}{res}          4        0.19       96.51
{txt}   4.666667 {c |}{res}         23        1.10       97.61
{txt}          5 {c |}{res}         30        1.43       99.04
{txt}   5.333333 {c |}{res}         10        0.48       99.52
{txt}        5.5 {c |}{res}          2        0.10       99.62
{txt}   5.666667 {c |}{res}          4        0.19       99.81
{txt}          6 {c |}{res}          4        0.19      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,094      100.00
{txt}
{com}. 
.                 
.                 *Combined Index (new)
.         /**fn. 5 (Lupton and Thornton: 
>                         A = sum(ai * si) where a = 1 if agree and s = agreement weight
>                         D = sum(di * si) where d = 1 if disagree and s = disagreement weight
>                         Disagreement = D - A**/
.                         
.                 *Agreement Coding*
.                         foreach var in gendiff1 gendiff2 gendiff3 {c -(}
{txt}  2{com}.                                 recode `var' (1=5) (2=4) (3=3) (4=2) (5=1), gen(`var'_ag)
{txt}  3{com}.                                 {c )-}
{txt}(1685 differences between gendiff1 and gendiff1_ag)
(1556 differences between gendiff2 and gendiff2_ag)
(1433 differences between gendiff3 and gendiff3_ag)

{com}.                 *Agree Scale
.                         gen a1 = d1_agree * gendiff1_ag
{txt}(2156 missing values generated)

{com}.                         gen a2 = d2_agree * gendiff2_ag
{txt}(2258 missing values generated)

{com}.                         gen a3 = d3_agree * gendiff3_ag
{txt}(2381 missing values generated)

{com}.                         egen agree_weight = rowtotal(a1 a2 a3), missing
{txt}(2146 missing values generated)

{com}. 
.                 
.                 *Disagree Scale
.                         gen d1 = d1_disagree * gendiff1
{txt}(2156 missing values generated)

{com}.                         gen d2 = d2_disagree * gendiff2
{txt}(2258 missing values generated)

{com}.                         gen d3 = d3_disagree * gendiff3
{txt}(2381 missing values generated)

{com}.                         egen disagree_weight = rowtotal(d1 d2 d3), missing
{txt}(2146 missing values generated)

{com}. 
.                 *Exposure to Disagreement
.                         gen disagree_total_weight = disagree_weight - agree_weight
{txt}(2146 missing values generated)

{com}.                         gen disagree_avg_weight = disagree_total_weight/(pid_disagree+pid_agree)
{txt}(2146 missing values generated)

{com}.                 
.                         foreach var in disagree_total_weight disagree_avg_weight {c -(}
{txt}  2{com}.                                 summ `var' 
{txt}  3{com}.                                 gen `var'01 = (`var' - r(min))/(r(max)-r(min))
{txt}  4{com}.                                 tab `var'01
{txt}  5{com}.                         {c )-}

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
disagree_t~t {c |}{res}      2094   -4.677173    7.310196        -15         15
{txt}(2146 missing values generated)

disagree_to {c |}
tal_weight0 {c |}
          1 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        137        6.54        6.54
{txt}   .0333333 {c |}{res}        105        5.01       11.56
{txt}   .0666667 {c |}{res}        125        5.97       17.53
{txt}         .1 {c |}{res}        169        8.07       25.60
{txt}   .1333333 {c |}{res}         86        4.11       29.70
{txt}   .1666667 {c |}{res}         75        3.58       33.29
{txt}         .2 {c |}{res}         50        2.39       35.67
{txt}   .2333333 {c |}{res}         59        2.82       38.49
{txt}   .2666667 {c |}{res}         72        3.44       41.93
{txt}         .3 {c |}{res}        127        6.06       47.99
{txt}   .3333333 {c |}{res}        141        6.73       54.73
{txt}   .3666667 {c |}{res}        129        6.16       60.89
{txt}         .4 {c |}{res}         87        4.15       65.04
{txt}   .4333333 {c |}{res}         52        2.48       67.53
{txt}   .4666667 {c |}{res}         36        1.72       69.25
{txt}         .5 {c |}{res}         54        2.58       71.82
{txt}   .5333334 {c |}{res}         82        3.92       75.74
{txt}   .5666667 {c |}{res}         80        3.82       79.56
{txt}         .6 {c |}{res}         97        4.63       84.19
{txt}   .6333333 {c |}{res}         71        3.39       87.58
{txt}   .6666667 {c |}{res}         41        1.96       89.54
{txt}         .7 {c |}{res}         42        2.01       91.55
{txt}   .7333333 {c |}{res}         34        1.62       93.17
{txt}   .7666667 {c |}{res}         53        2.53       95.70
{txt}         .8 {c |}{res}         28        1.34       97.04
{txt}   .8333333 {c |}{res}         24        1.15       98.19
{txt}   .8666667 {c |}{res}         14        0.67       98.85
{txt}         .9 {c |}{res}         11        0.53       99.38
{txt}   .9333333 {c |}{res}          8        0.38       99.76
{txt}   .9666666 {c |}{res}          3        0.14       99.90
{txt}          1 {c |}{res}          2        0.10      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,094      100.00

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
disagree_a~t {c |}{res}      2094   -1.646132    2.581645         -5          5
{txt}(2146 missing values generated)

disagree_av {c |}
 g_weight01 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        185        8.83        8.83
{txt}   .0333333 {c |}{res}        105        5.01       13.85
{txt}        .05 {c |}{res}          7        0.33       14.18
{txt}   .0666666 {c |}{res}        125        5.97       20.15
{txt}         .1 {c |}{res}        209        9.98       30.13
{txt}   .1333333 {c |}{res}         86        4.11       34.24
{txt}        .15 {c |}{res}          9        0.43       34.67
{txt}   .1666667 {c |}{res}         51        2.44       37.11
{txt}         .2 {c |}{res}         64        3.06       40.16
{txt}   .2333333 {c |}{res}         44        2.10       42.26
{txt}        .25 {c |}{res}          2        0.10       42.36
{txt}   .2666667 {c |}{res}         63        3.01       45.37
{txt}         .3 {c |}{res}        129        6.16       51.53
{txt}   .3333333 {c |}{res}        115        5.49       57.02
{txt}        .35 {c |}{res}          5        0.24       57.26
{txt}   .3666667 {c |}{res}         98        4.68       61.94
{txt}         .4 {c |}{res}         78        3.72       65.66
{txt}   .4333333 {c |}{res}         39        1.86       67.53
{txt}        .45 {c |}{res}         11        0.53       68.05
{txt}   .4666667 {c |}{res}         25        1.19       69.25
{txt}         .5 {c |}{res}         54        2.58       71.82
{txt}   .5333334 {c |}{res}         69        3.30       75.12
{txt}        .55 {c |}{res}          5        0.24       75.36
{txt}   .5666667 {c |}{res}         63        3.01       78.37
{txt}         .6 {c |}{res}         98        4.68       83.05
{txt}   .6333333 {c |}{res}         51        2.44       85.48
{txt}        .65 {c |}{res}          4        0.19       85.67
{txt}   .6666667 {c |}{res}         35        1.67       87.34
{txt}         .7 {c |}{res}         59        2.82       90.16
{txt}   .7333333 {c |}{res}         32        1.53       91.69
{txt}        .75 {c |}{res}          4        0.19       91.88
{txt}   .7666667 {c |}{res}         51        2.44       94.32
{txt}         .8 {c |}{res}         39        1.86       96.18
{txt}   .8333333 {c |}{res}         24        1.15       97.33
{txt}        .85 {c |}{res}          2        0.10       97.42
{txt}   .8666667 {c |}{res}         14        0.67       98.09
{txt}         .9 {c |}{res}         24        1.15       99.24
{txt}   .9333333 {c |}{res}          8        0.38       99.62
{txt}        .95 {c |}{res}          1        0.05       99.67
{txt}   .9666666 {c |}{res}          3        0.14       99.81
{txt}          1 {c |}{res}          4        0.19      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,094      100.00
{txt}
{com}.                         
.                         label var disagree_total_weight "Network Disagreement"
{txt}
{com}.                         label var disagree_total_weight "Network Disagreement"
{txt}
{com}.                 
.                         label var disagree_avg_weight "Network Disagreement"
{txt}
{com}.                         label var disagree_avg_weight "Network Disagreement"
{txt}
{com}.                 
.                 
.                 ***************************************************
.                 *****************Control Variables*****************
.                 ***************************************************
.         
. *Education
.         recode DER05 (-6=.) (-2=.) (5=4),  gen(educ)
{txt}(1616 differences between DER05 and educ)

{com}.         label var educ "Education"
{txt}
{com}.         label def ed 1 "< HS" 2 "HS" 3 " Some College" 4 "Bachelor+"
{txt}
{com}.         label values educ ed
{txt}
{com}.         
.         summ educ 

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 8}educ {c |}{res}      3222     3.16946    .8536997          1          4
{txt}
{com}.         gen educ01 = (educ - r(min))/(r(max)-r(min))
{txt}(1018 missing values generated)

{com}.         label var educ "Education"
{txt}
{com}.         
. *Age
.         rename DER02 age
{res}{txt}
{com}.         label var age "Age"
{txt}
{com}.         
.         summ age 

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 9}age {c |}{res}      4240    50.78184    15.78628         18         90
{txt}
{com}.         gen age01 = (age - r(min))/(r(max)-r(min))
{txt}
{com}.         label var age01 "Age"
{txt}
{com}.         
.         
. *Income
.         rename DER06 income
{res}{txt}
{com}.         replace income = . if income < 0        
{txt}(1053 real changes made, 1053 to missing)

{com}.         label var income "Income"
{txt}
{com}.         
.         summ income

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 6}income {c |}{res}      3187    12.22529    4.131404          1         19
{txt}
{com}.         gen income01 = (income - r(min))/(r(max)-r(min))
{txt}(1053 missing values generated)

{com}.         label var income01 "Income"
{txt}
{com}.         
.         
. *Race
.         rename DER04 race_eth
{res}{txt}
{com}.         label var race_eth "Race/Ethnicity"
{txt}
{com}.         label def rac 1 "White" 2 "Black" 3 "Hispanic" 4 "Other"
{txt}
{com}.         label values race_eth rac
{txt}
{com}.         
. *Gender
.         recode DER01 (1=0) (2=1), gen(gender)
{txt}(4240 differences between DER01 and gender)

{com}.         label var gender "Gender" 
{txt}
{com}.         label def gena 1 "Female" 0 "Male"
{txt}
{com}.         label values gender gena
{txt}
{com}. 
. *Employment
.         *CP (Core Profile?) Question
.                 recode CPQ17 (-7=.) (-6=.) (-5=.) (-4=.) (1=1) (2=1) (3=2) (4=2) (5=3) (6=4) (7=5), gen(empl_cp)
{txt}(2729 differences between CPQ17 and empl_cp)

{com}.                 label var empl_cp "Employment (CP)"
{txt}
{com}.                 label def emp 1 "Working" 2 "Unemployed" 3 "Retired" 4 "Disabled" 5 "Not Working: Other" 
{txt}
{com}.                 label values empl_cp emp
{txt}
{com}.                 
.                 recode empl_cp (1=1) (2=2) (3=3) (4=4) (5=4) , gen(empl_cp1)
{txt}(220 differences between empl_cp and empl_cp1)

{com}.                 label def emp2 1 "Working" 2 "Unemployed" 3 "Retired" 4 "Disabled/Not Working/Other"
{txt}
{com}.                 label values empl_cp1 emp2
{txt}
{com}.                 label var empl_cp1 "Employment"
{txt}
{com}. 
.                 
.         *Employment (W11)
.                 recode W11ZG1 (-7=.) (-6=.) (-5=.) (-4=.) (1=1) (2=1) (3=2) (4=2) (5=3) (6=4) (7=5), gen(empl_w11)
{txt}(2828 differences between W11ZG1 and empl_w11)

{com}.                 label var empl_w11 "Employment (W11)"
{txt}
{com}.                 label values empl_w11 emp
{txt}
{com}.                 
.                 recode empl_w11 (1=1) (2=2) (3=3)(4=4) (5=4) (6=4) (7=4), gen(empl_w11a)
{txt}(146 differences between empl_w11 and empl_w11a)

{com}.                 label values empl_w11a emp2
{txt}
{com}.                 label var empl_w11a "Employment (W11)"
{txt}
{com}.                 
.                 
.                 
.         *Relationship
.                 tab empl_cp empl_w11, row col
{txt}
{c TLC}{hline 19}{c TRC}
{c |} Key{col 21}{c |}
{c LT}{hline 19}{c RT}
{c |}{space 5}{it:frequency}{col 21}{c |}
{c |}{space 2}{it:row percentage}{col 21}{c |}
{c |}{space 1}{it:column percentage}{col 21}{c |}
{c BLC}{hline 19}{c BRC}

                   {c |}                    Employment (W11)
   Employment (CP) {c |}   Working  Unemploye    Retired   Disabled  Not Worki {c |}     Total
{hline 19}{c +}{hline 55}{c +}{hline 10}
           Working {c |}{res}     1,480         44         32          8         22 {txt}{c |}{res}     1,586 
                   {txt}{c |}{res}     93.32       2.77       2.02       0.50       1.39 {txt}{c |}{res}    100.00 
                   {txt}{c |}{res}     92.79      48.35       6.32       7.92      16.79 {txt}{c |}{res}     65.43 
{txt}{hline 19}{c +}{hline 55}{c +}{hline 10}
        Unemployed {c |}{res}        42         36          3          0          4 {txt}{c |}{res}        85 
                   {txt}{c |}{res}     49.41      42.35       3.53       0.00       4.71 {txt}{c |}{res}    100.00 
                   {txt}{c |}{res}      2.63      39.56       0.59       0.00       3.05 {txt}{c |}{res}      3.51 
{txt}{hline 19}{c +}{hline 55}{c +}{hline 10}
           Retired {c |}{res}        25          4        440          4          8 {txt}{c |}{res}       481 
                   {txt}{c |}{res}      5.20       0.83      91.48       0.83       1.66 {txt}{c |}{res}    100.00 
                   {txt}{c |}{res}      1.57       4.40      86.96       3.96       6.11 {txt}{c |}{res}     19.84 
{txt}{hline 19}{c +}{hline 55}{c +}{hline 10}
          Disabled {c |}{res}         3          0          9         85          0 {txt}{c |}{res}        97 
                   {txt}{c |}{res}      3.09       0.00       9.28      87.63       0.00 {txt}{c |}{res}    100.00 
                   {txt}{c |}{res}      0.19       0.00       1.78      84.16       0.00 {txt}{c |}{res}      4.00 
{txt}{hline 19}{c +}{hline 55}{c +}{hline 10}
Not Working: Other {c |}{res}        45          7         22          4         97 {txt}{c |}{res}       175 
                   {txt}{c |}{res}     25.71       4.00      12.57       2.29      55.43 {txt}{c |}{res}    100.00 
                   {txt}{c |}{res}      2.82       7.69       4.35       3.96      74.05 {txt}{c |}{res}      7.22 
{txt}{hline 19}{c +}{hline 55}{c +}{hline 10}
             Total {c |}{res}     1,595         91        506        101        131 {txt}{c |}{res}     2,424 
                   {txt}{c |}{res}     65.80       3.75      20.87       4.17       5.40 {txt}{c |}{res}    100.00 
                   {txt}{c |}{res}    100.00     100.00     100.00     100.00     100.00 {txt}{c |}{res}    100.00 

{txt}
{com}. 
. *Married Status
.         recode DER24 (-6=.) (-2=.) (1=1) (2=0) (3=0) (4=0) (5=0) (6=0) (7=0) (8=0) (9=0), gen(marital)
{txt}(2240 differences between DER24 and marital)

{com}.         label var marital "Marriage Status"
{txt}
{com}.         label def mar 1 "Married" 0 "Not Married" 
{txt}
{com}.         label values marital mar
{txt}
{com}.         tab marital

   {txt}Marriage {c |}
     Status {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
Not Married {c |}{res}      1,169       36.89       36.89
{txt}    Married {c |}{res}      2,000       63.11      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      3,169      100.00
{txt}
{com}. 
. *Interest
.         label def inte 1 "Not Interested" 2 "Slightly" 3 "Moderately" 4 "Very" 5 "Extremely"
{txt}
{com}.         *W1
.                 recode  W1K1 (-7=.) (-6=.) (-5=.) (-4=.) (1=5) (2=4) (3=3) (4=2) (5=1), gen(interest_w1)
{txt}(3738 differences between W1K1 and interest_w1)

{com}.                 label var interest_w1 "Pol. Interest (W1)"
{txt}
{com}.                 label values interest_w1 inte
{txt}
{com}.                 tab interest_w1

 {txt}Pol. Interest {c |}
          (W1) {c |}      Freq.     Percent        Cum.
{hline 15}{c +}{hline 35}
Not Interested {c |}{res}         42        2.60        2.60
{txt}      Slightly {c |}{res}        182       11.26       13.86
{txt}    Moderately {c |}{res}        502       31.06       44.93
{txt}          Very {c |}{res}        524       32.43       77.35
{txt}     Extremely {c |}{res}        366       22.65      100.00
{txt}{hline 15}{c +}{hline 35}
         Total {c |}{res}      1,616      100.00
{txt}
{com}.         *W9
.                 recode  W9H1 (-7=.) (-6=.) (-5=.) (-4=.) (1=5) (2=4) (3=3) (4=2) (5=1), gen(interest_w9)
{txt}(3441 differences between W9H1 and interest_w9)

{com}.                 label var interest_w9 "Pol. Interest (W9)"
{txt}
{com}.                 label values interest_w9 inte
{txt}
{com}.                 tab interest_w9

 {txt}Pol. Interest {c |}
          (W9) {c |}      Freq.     Percent        Cum.
{hline 15}{c +}{hline 35}
Not Interested {c |}{res}         52        1.90        1.90
{txt}      Slightly {c |}{res}        266        9.71       11.61
{txt}    Moderately {c |}{res}        799       29.17       40.78
{txt}          Very {c |}{res}        995       36.33       77.11
{txt}     Extremely {c |}{res}        627       22.89      100.00
{txt}{hline 15}{c +}{hline 35}
         Total {c |}{res}      2,739      100.00
{txt}
{com}.         *W10
.                 recode  W10H1 (-7=.) (-6=.) (-5=.) (-4=.) (1=5) (2=4) (3=3) (4=2) (5=1), gen(interest_w10)
{txt}(3476 differences between W10H1 and interest_w10)

{com}.                 label var interest_w10 "Pol. Interest (W10)"
{txt}
{com}.                 label values interest_w10 inte
{txt}
{com}.                 tab interest_w10

 {txt}Pol. Interest {c |}
         (W10) {c |}      Freq.     Percent        Cum.
{hline 15}{c +}{hline 35}
Not Interested {c |}{res}         51        1.89        1.89
{txt}      Slightly {c |}{res}        255        9.47       11.36
{txt}    Moderately {c |}{res}        764       28.37       39.73
{txt}          Very {c |}{res}        949       35.24       74.97
{txt}     Extremely {c |}{res}        674       25.03      100.00
{txt}{hline 15}{c +}{hline 35}
         Total {c |}{res}      2,693      100.00
{txt}
{com}.         *W11
.                         recode  W11H1 (-7=.) (-6=.) (-5=.) (-4=.) (1=5) (2=4) (3=3) (4=2) (5=1), gen(interest_w11)
{txt}(3548 differences between W11H1 and interest_w11)

{com}.                 label var interest_w11 "Pol. Interest (W11)"
{txt}
{com}.                 label values interest_w11 inte
{txt}
{com}.                 tab interest_w11

 {txt}Pol. Interest {c |}
         (W11) {c |}      Freq.     Percent        Cum.
{hline 15}{c +}{hline 35}
Not Interested {c |}{res}         56        2.10        2.10
{txt}      Slightly {c |}{res}        213        7.99       10.09
{txt}    Moderately {c |}{res}        692       25.97       36.06
{txt}          Very {c |}{res}      1,005       37.71       73.77
{txt}     Extremely {c |}{res}        699       26.23      100.00
{txt}{hline 15}{c +}{hline 35}
         Total {c |}{res}      2,665      100.00
{txt}
{com}.         *W19
.                 recode  W19H1 (-7=.) (-6=.) (-5=.) (-4=.) (1=5) (2=4) (3=3) (4=2) (5=1), gen(interest_w19)
{txt}(3389 differences between W19H1 and interest_w19)

{com}.                 label var interest_w19 "Pol. Interest (W19)"
{txt}
{com}.                 label values interest_w19 inte
{txt}
{com}.                 tab interest_w19

 {txt}Pol. Interest {c |}
         (W19) {c |}      Freq.     Percent        Cum.
{hline 15}{c +}{hline 35}
Not Interested {c |}{res}         68        2.85        2.85
{txt}      Slightly {c |}{res}        405       16.96       19.81
{txt}    Moderately {c |}{res}        851       35.64       55.44
{txt}          Very {c |}{res}        686       28.73       84.17
{txt}     Extremely {c |}{res}        378       15.83      100.00
{txt}{hline 15}{c +}{hline 35}
         Total {c |}{res}      2,388      100.00
{txt}
{com}.         *Relationship
.                 pwcorr interest_w1 interest_w9  interest_w10  interest_w11  interest_w19, sig 

             {txt}{c |} inter~w1 inter~w9 inter~10 inter~11 inter~19
{hline 13}{c +}{hline 45}
 interest_w1 {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
 interest_w9 {c |} {res}  0.6684   1.0000 
             {txt}{c |}{res}   0.0000
             {txt}{c |}
interest_w10 {c |} {res}  0.6504   0.7191   1.0000 
             {txt}{c |}{res}   0.0000   0.0000
             {txt}{c |}
interest_w11 {c |} {res}  0.6436   0.6772   0.7086   1.0000 
             {txt}{c |}{res}   0.0000   0.0000   0.0000
             {txt}{c |}
interest_w19 {c |} {res}  0.6422   0.6546   0.6480   0.6311   1.0000 
             {txt}{c |}{res}   0.0000   0.0000   0.0000   0.0000
             {txt}{c |}

{com}.         
. 
. *Avg. Discussant Interest in Politics
.         label def discinterest 1 "Not at all" 2 "Slightly" 3 "Moderately" 4 "Very" 5 "Extremely"
{txt}
{com}.         gen interestd1 = .
{txt}(4240 missing values generated)

{com}.         replace interestd1 = 1 if W9ZD17_1 == 5
{txt}(47 real changes made)

{com}.         replace interestd1 = 2 if W9ZD17_1 == 4
{txt}(180 real changes made)

{com}.         replace interestd1 = 3 if W9ZD17_1 == 3
{txt}(440 real changes made)

{com}.         replace interestd1 = 4 if W9ZD17_1 == 2
{txt}(602 real changes made)

{com}.         replace interestd1 = 5 if W9ZD17_1 == 1         
{txt}(804 real changes made)

{com}.         label var interestd1 "Disc. 1 Interest Level"
{txt}
{com}.         label values interestd1 discinterest 
{txt}
{com}.         tab interestd1 W9ZD17_1         

   {txt}Disc. 1 {c |}          w9zd17_1. How interested is name1 in
  Interest {c |}                  government/politics
     Level {c |} 1. Extrem  2. Very i  3. Modera  4. Slight  5. Not in {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
Not at all {c |}{res}         0          0          0          0         47 {txt}{c |}{res}        47 
{txt}  Slightly {c |}{res}         0          0          0        180          0 {txt}{c |}{res}       180 
{txt}Moderately {c |}{res}         0          0        440          0          0 {txt}{c |}{res}       440 
{txt}      Very {c |}{res}         0        602          0          0          0 {txt}{c |}{res}       602 
{txt} Extremely {c |}{res}       804          0          0          0          0 {txt}{c |}{res}       804 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}       804        602        440        180         47 {txt}{c |}{res}     2,073 

{txt}
{com}.                                 
.         gen interestd2 = .
{txt}(4240 missing values generated)

{com}.         replace interestd2 = 1 if W9ZD17_2 == 5
{txt}(45 real changes made)

{com}.         replace interestd2 = 2 if W9ZD17_2 == 4
{txt}(199 real changes made)

{com}.         replace interestd2 = 3 if W9ZD17_2 == 3
{txt}(466 real changes made)

{com}.         replace interestd2 = 4 if W9ZD17_2 == 2
{txt}(612 real changes made)

{com}.         replace interestd2 = 5 if W9ZD17_2 == 1         
{txt}(645 real changes made)

{com}.         label var interestd2 "Disc. 2 Interest Level"
{txt}
{com}.         label values interestd2 discinterest                    
{txt}
{com}.         tab interestd2 W9ZD17_2         

   {txt}Disc. 2 {c |}          w9zd17_2. How interested is name2 in
  Interest {c |}                  government/politics
     Level {c |} 1. Extrem  2. Very i  3. Modera  4. Slight  5. Not in {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
Not at all {c |}{res}         0          0          0          0         45 {txt}{c |}{res}        45 
{txt}  Slightly {c |}{res}         0          0          0        199          0 {txt}{c |}{res}       199 
{txt}Moderately {c |}{res}         0          0        466          0          0 {txt}{c |}{res}       466 
{txt}      Very {c |}{res}         0        612          0          0          0 {txt}{c |}{res}       612 
{txt} Extremely {c |}{res}       645          0          0          0          0 {txt}{c |}{res}       645 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}       645        612        466        199         45 {txt}{c |}{res}     1,967 

{txt}
{com}. 
.         gen interestd3 = .
{txt}(4240 missing values generated)

{com}.         replace interestd3 = 1 if W9ZD17_3 == 5
{txt}(49 real changes made)

{com}.         replace interestd3 = 2 if W9ZD17_3 == 4
{txt}(214 real changes made)

{com}.         replace interestd3 = 3 if W9ZD17_3 == 3
{txt}(466 real changes made)

{com}.         replace interestd3 = 4 if W9ZD17_3 == 2
{txt}(565 real changes made)

{com}.         replace interestd3 = 5 if W9ZD17_3 == 1         
{txt}(550 real changes made)

{com}.         label var interestd3 "Disc. 3 Interest Level"
{txt}
{com}.         label values interestd3 discinterest 
{txt}
{com}.         tab interestd3 W9ZD17_3         

   {txt}Disc. 3 {c |}          w9zd17_3. How interested is name3 in
  Interest {c |}                  government/politics
     Level {c |} 1. Extrem  2. Very i  3. Modera  4. Slight  5. Not in {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
Not at all {c |}{res}         0          0          0          0         49 {txt}{c |}{res}        49 
{txt}  Slightly {c |}{res}         0          0          0        214          0 {txt}{c |}{res}       214 
{txt}Moderately {c |}{res}         0          0        466          0          0 {txt}{c |}{res}       466 
{txt}      Very {c |}{res}         0        565          0          0          0 {txt}{c |}{res}       565 
{txt} Extremely {c |}{res}       550          0          0          0          0 {txt}{c |}{res}       550 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}       550        565        466        214         49 {txt}{c |}{res}     1,844 

{txt}
{com}.         
.         summ interestd1-interestd3

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 2}interestd1 {c |}{res}      2073    3.933912    1.071288          1          5
{txt}{space 2}interestd2 {c |}{res}      1967    3.820031    1.069386          1          5
{txt}{space 2}interestd3 {c |}{res}      1844    3.733731    1.088155          1          5
{txt}
{com}.         
.         egen network_interest = rowmean(interestd1 interestd2 interestd3)
{txt}(2167 missing values generated)

{com}.         label var network_interest "Network Pol. Interest"
{txt}
{com}.         
.                 *Weighted Scale
.                 
.                         *Agree/Weight
.                         gen a1i = d1_agree * interestd1
{txt}(2170 missing values generated)

{com}.                         gen a2i = d2_agree * interestd2
{txt}(2277 missing values generated)

{com}.                         gen a3i = d3_agree * interestd3
{txt}(2400 missing values generated)

{com}.                         egen agree_int = rowtotal(a1i a2i a3i), missing
{txt}(2169 missing values generated)

{com}.                 
.                         *Disagree/Weight
.                         gen d1i = d1_disagree * interestd1
{txt}(2170 missing values generated)

{com}.                         gen d2i = d2_disagree * interestd2
{txt}(2277 missing values generated)

{com}.                         gen d3i = d3_disagree * interestd3
{txt}(2400 missing values generated)

{com}.                         egen disagree_int = rowtotal(d1i d2i d3i), missing
{txt}(2169 missing values generated)

{com}.                 
.                         *Scale
.                                 gen disagree_total_int = disagree_int - agree_int
{txt}(2169 missing values generated)

{com}.                                 gen disagree_avg_int = disagree_total_int/(pid_disagree + pid_agree)
{txt}(2169 missing values generated)

{com}.                                 label var disagree_total_int "Network Disagreement (Interest Weighted)"
{txt}
{com}.                                 label var disagree_avg_int "Network Disagreement (Interest Weighted)"
{txt}
{com}.                                 
.                                 foreach var in disagree_total_int disagree_avg_int {c -(}
{txt}  2{com}.                                         summ `var'
{txt}  3{com}.                                         gen `var'01 = (`var' - r(min))/(r(max)-r(min))
{txt}  4{com}.                                         {c )-}

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
disagr~l_int {c |}{res}      2071   -3.577982     7.96833        -15         15
{txt}(2169 missing values generated)

    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
disagr~g_int {c |}{res}      2071    -1.24489     2.80755         -5          5
{txt}(2169 missing values generated)

{com}.                                 
.                                 label var disagree_total_int01 "Network Disagreement (Interest Weighted)"
{txt}
{com}.                                 label var disagree_avg_int01 "Network Disagreement (Interest Weighted)"
{txt}
{com}.                                 
. 
. *Network Ties - How close to each other?
. 
. recode W9ZD8A W9ZD8B W9ZD8C (-6=.) (-5=.) (-1=.) ///
>         (1=6) (2=5) (3=4) (4=3) (5=2) (6=1), gen(tclose1 tclose2 tclose3)
{txt}(4240 differences between W9ZD8A and tclose1)
(4240 differences between W9ZD8B and tclose2)
(4240 differences between W9ZD8C and tclose3)

{com}. 
. egen network_close = rowmean(tclose1 tclose2 tclose3) 
{txt}(2223 missing values generated)

{com}. label var network_close "Avg. Closeness of Ties to Each Other"
{txt}
{com}. 
. *Weighted by Tie Closenes*
.         recode  W9ZD4_1  W9ZD4_2  W9ZD4_3 ///
>                 (-7=.) (-6=.) (-5=.) (1=5) (2=4) (3=3) (4=2) (5=1), gen(close1 close2 close3)
{txt}(3948 differences between W9ZD4_1 and close1)
(3834 differences between W9ZD4_2 and close2)
(3836 differences between W9ZD4_3 and close3)

{com}.         
.         *Agree/Weight
.                         gen a1c = d1_agree * close1
{txt}(2156 missing values generated)

{com}.                         gen a2c = d2_agree * close2
{txt}(2257 missing values generated)

{com}.                         gen a3c = d3_agree * close3
{txt}(2381 missing values generated)

{com}.                         egen agree_close = rowtotal(a1c a2c a3c), missing
{txt}(2145 missing values generated)

{com}.                 
.                 *Disagree/Weight
.                         gen d1c = d1_disagree * close1
{txt}(2156 missing values generated)

{com}.                         gen d2c = d2_disagree * close2
{txt}(2257 missing values generated)

{com}.                         gen d3c = d3_disagree * close3
{txt}(2381 missing values generated)

{com}.                         egen disagree_close = rowtotal(d1c d2c d3c), missing
{txt}(2145 missing values generated)

{com}.                 
.                         *Scale
.                                 gen disagree_total_close = disagree_close - agree_close
{txt}(2145 missing values generated)

{com}.                 
.                 
.                                 
.         
. *Personal Economic Situation (W19)
.         recode W19WX3 (-7=.) (-6=.) (-5=.) (1=5) (2=4) (3=3) (4=2) (5=1), gen(pers_finance)
{txt}(3556 differences between W19WX3 and pers_finance)

{com}.         label var pers_finance "Personal Economic Situation, Past 3mos"
{txt}
{com}.         label def pers 1 "Not at all Diff." 2 "Slightly Difficult" 3 "Moderately" 4 "Very" 5 "Extremely"
{txt}
{com}.         label values pers_finance pers
{txt}
{com}.         
.         
. *Political Knowledge
. 
. 
.         *W2
.                 label def correct 1 "Correct" 0 "Incorrect/NA"
{txt}
{com}.                 *Presidential Term Liimit*
.                         gen term = . 
{txt}(4240 missing values generated)

{com}.                         replace term = 1 if W2U2 == 2
{txt}(1351 real changes made)

{com}.                         replace term = 0 if W2U2 == 1
{txt}(27 real changes made)

{com}.                         replace term = 0 if W2U2 >=3 & W2U2 <= 60
{txt}(59 real changes made)

{com}.                         replace term = 0 if W2U2 == -7
{txt}(19 real changes made)

{com}.                         label var term "Pres. Term Limit" 
{txt}
{com}.                         label values term correct
{txt}
{com}.                         tab term        

  {txt}Pres. Term {c |}
       Limit {c |}      Freq.     Percent        Cum.
{hline 13}{c +}{hline 35}
Incorrect/NA {c |}{res}        105        7.21        7.21
{txt}     Correct {c |}{res}      1,351       92.79      100.00
{txt}{hline 13}{c +}{hline 35}
       Total {c |}{res}      1,456      100.00
{txt}
{com}.                 *Senator Term
.                         gen sen_term = . 
{txt}(4240 missing values generated)

{com}.                         replace sen_term = 1 if W2U3 == 6
{txt}(547 real changes made)

{com}.                         replace sen_term = 0 if W2U3 >=0 & W2U3 <= 5
{txt}(740 real changes made)

{com}.                         replace sen_term = 0 if W2U3 >=7 & W2U3 <=66
{txt}(119 real changes made)

{com}.                         replace sen_term = 0 if W2U3 == -7
{txt}(51 real changes made)

{com}.                         label var sen_term "Senator Term Limit"
{txt}
{com}.                         label values sen_term correct
{txt}
{com}.                         tab sen_term 

{txt}Senator Term {c |}
       Limit {c |}      Freq.     Percent        Cum.
{hline 13}{c +}{hline 35}
Incorrect/NA {c |}{res}        910       62.46       62.46
{txt}     Correct {c |}{res}        547       37.54      100.00
{txt}{hline 13}{c +}{hline 35}
       Total {c |}{res}      1,457      100.00
{txt}
{com}.                         
.                 *Senator Per State
.                         gen senators = .
{txt}(4240 missing values generated)

{com}.                         replace senators = 1 if W2U4 == 2
{txt}(1068 real changes made)

{com}.                         replace senators = 0 if W2U4 >=3 & W2U4 <= 1000
{txt}(131 real changes made)

{com}.                         replace senators = 0 if W2U4 >=0 & W2U4 <= 1
{txt}(181 real changes made)

{com}.                         replace senators = 0 if W2U4 == -7
{txt}(77 real changes made)

{com}.                         label var senators "#Senators per State"
{txt}
{com}.                         label values senators correct
{txt}
{com}.                         tab senators

   {txt}#Senators {c |}
   per State {c |}      Freq.     Percent        Cum.
{hline 13}{c +}{hline 35}
Incorrect/NA {c |}{res}        389       26.70       26.70
{txt}     Correct {c |}{res}      1,068       73.30      100.00
{txt}{hline 13}{c +}{hline 35}
       Total {c |}{res}      1,457      100.00
{txt}
{com}.                         
.                         
.                 *House Term
.                         gen house_term = .
{txt}(4240 missing values generated)

{com}.                         replace house_term = 1 if W2U5 == 2
{txt}(568 real changes made)

{com}.                         replace house_term = 0 if W2U5 >=0 & W2U5 <=1
{txt}(12 real changes made)

{com}.                         replace house_term = 0 if W2U5 >=3 & W2U5 <=100
{txt}(803 real changes made)

{com}.                         replace house_term = 0 if W2U5 == -7
{txt}(74 real changes made)

{com}.                         label var house_term "House Rep Term Limit"
{txt}
{com}.                         label values house_term correct
{txt}
{com}.                         tab house_term

   {txt}House Rep {c |}
  Term Limit {c |}      Freq.     Percent        Cum.
{hline 13}{c +}{hline 35}
Incorrect/NA {c |}{res}        889       61.02       61.02
{txt}     Correct {c |}{res}        568       38.98      100.00
{txt}{hline 13}{c +}{hline 35}
       Total {c |}{res}      1,457      100.00
{txt}
{com}.                         
.                 
.                 *Who Takes Over if Pres and VP Die
.                         gen succession = . 
{txt}(4240 missing values generated)

{com}.                         replace succession = 1 if W2U6 == 3
{txt}(994 real changes made)

{com}.                         replace succession = 0 if W2U6 >=1 & W2U6 <=2
{txt}(425 real changes made)

{com}.                         replace succession = 0 if W2U6 == -7
{txt}(38 real changes made)

{com}.                         label var succession "Pres Succession"
{txt}
{com}.                         label values succession correct
{txt}
{com}.                         tab succession

        {txt}Pres {c |}
  Succession {c |}      Freq.     Percent        Cum.
{hline 13}{c +}{hline 35}
Incorrect/NA {c |}{res}        463       31.78       31.78
{txt}     Correct {c |}{res}        994       68.22      100.00
{txt}{hline 13}{c +}{hline 35}
       Total {c |}{res}      1,457      100.00
{txt}
{com}.                 
.                 *Overriding a Veto
.                         gen veto = . 
{txt}(4240 missing values generated)

{com}.                         replace veto = 1 if W2U7 == 2
{txt}(1040 real changes made)

{com}.                         replace veto = 0 if W2U7 == 1
{txt}(114 real changes made)

{com}.                         replace veto = 0 if W2U7 >=3 & W2U7 <=4
{txt}(264 real changes made)

{com}.                         replace veto = 0 if W2U7 == -7
{txt}(39 real changes made)

{com}.                         label var veto "Veto Override"
{txt}
{com}.                         label values veto correct
{txt}
{com}.                         tab veto

        {txt}Veto {c |}
    Override {c |}      Freq.     Percent        Cum.
{hline 13}{c +}{hline 35}
Incorrect/NA {c |}{res}        417       28.62       28.62
{txt}     Correct {c |}{res}      1,040       71.38      100.00
{txt}{hline 13}{c +}{hline 35}
       Total {c |}{res}      1,457      100.00
{txt}
{com}.                 
.                 alpha term sen_term senators house_term succession veto, item

{txt}Test scale = mean(unstandardized items)

                                                            average
                             item-test     item-rest       interitem
Item         {c |}  Obs  Sign   correlation   correlation     covariance      alpha
{hline 13}{c +}{hline 65}
term{col 14}{c |}{res}{col 16}1456{col 24}+{col 31} 0.3857{col 45} 0.2279{col 59} .0498231{col 73} 0.5970
{txt}sen_term{col 14}{c |}{res}{col 16}1457{col 24}+{col 31} 0.6468{col 45} 0.3961{col 59} .0340593{col 73} 0.5310
{txt}senators{col 14}{c |}{res}{col 16}1457{col 24}+{col 31} 0.6396{col 45} 0.4136{col 59} .0348055{col 73} 0.5251
{txt}house_term{col 14}{c |}{res}{col 16}1457{col 24}+{col 31} 0.6078{col 45} 0.3406{col 59} .0369582{col 73} 0.5572
{txt}succession{col 14}{c |}{res}{col 16}1457{col 24}+{col 31} 0.6001{col 45} 0.3456{col 59} .0374132{col 73} 0.5540
{txt}veto{col 14}{c |}{res}{col 16}1457{col 24}+{col 31} 0.5577{col 45} 0.3000{col 59} .0403401{col 73} 0.5732
{txt}{hline 13}{c +}{hline 65}
Test scale{col 14}{c |}{res}{col 59} .0389004{col 73} 0.6026
{txt}{hline 13}{c BT}{hline 65}

{com}.                 egen knowl = rowtotal(term sen_term senators house_term succession veto), missing
{txt}(2783 missing values generated)

{com}.                 
.                 summ knowl

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 7}knowl {c |}{res}      1457    3.821551    1.524886          0          6
{txt}
{com}.                 gen knowl01 = (knowl - r(min))/(r(max)-r(min))
{txt}(2783 missing values generated)

{com}.                 label var knowl01 "Knowledge" 
{txt}
{com}.                 
.                 
.         
. ***Partisan Ambivalence***
. 
. 
.         *Wave 2
.                 *Fav: Dem
.                         gen dem_fav_w2 = . 
{txt}(4240 missing values generated)

{com}.                         replace dem_fav_w2 = 0 if W2L2 == 2
{txt}(534 real changes made)

{com}.                         replace dem_fav_w2 = 0.25  if W2L2 == 1 & W2L3 == 4
{txt}(213 real changes made)

{com}.                         replace dem_fav_w2 = 0.50  if W2L2 == 1 & W2L3 == 3
{txt}(353 real changes made)

{com}.                         replace dem_fav_w2 = 0.75  if W2L2 == 1 & W2L3 == 2
{txt}(246 real changes made)

{com}.                         replace dem_fav_w2 = 1  if W2L2 == 1 & W2L3 == 1
{txt}(97 real changes made)

{com}. 
.                 *Unfav: Dem
.                         gen dem_unfav_w2 = .
{txt}(4240 missing values generated)

{com}.                         replace dem_unfav_w2 = 0 if W2L4 == 2
{txt}(529 real changes made)

{com}.                         replace dem_unfav_w2 = 0.25  if W2L4 == 1 & W2L5 == 4
{txt}(286 real changes made)

{com}.                         replace dem_unfav_w2 = 0.50  if W2L4 == 1 & W2L5 == 3
{txt}(322 real changes made)

{com}.                         replace dem_unfav_w2 = 0.75  if W2L4 == 1 & W2L5 == 2
{txt}(185 real changes made)

{com}.                         replace dem_unfav_w2 = 1  if W2L4 == 1 & W2L5 == 1
{txt}(122 real changes made)

{com}.                 
.                 *Rep:Fav
.                         gen rep_fav_w2 = . 
{txt}(4240 missing values generated)

{com}.                         replace rep_fav_w2 = 0 if W2L7 == 2
{txt}(660 real changes made)

{com}.                         replace rep_fav_w2 = 0.25  if W2L7 == 1 & W2L8 == 4
{txt}(211 real changes made)

{com}.                         replace rep_fav_w2 = 0.50  if W2L7 == 1 & W2L8 == 3
{txt}(338 real changes made)

{com}.                         replace rep_fav_w2 = 0.75  if W2L7 == 1 & W2L8 == 2
{txt}(189 real changes made)

{com}.                         replace rep_fav_w2 = 1  if W2L7 == 1 & W2L8 == 1
{txt}(47 real changes made)

{com}.                 
.                 
.                 *Rep:Unfav
.                         gen rep_unfav_w2 = .
{txt}(4240 missing values generated)

{com}.                         replace rep_unfav_w2 = 0 if W2L9 == 2
{txt}(437 real changes made)

{com}.                         replace rep_unfav_w2 = 0.25  if W2L9 == 1 & W2L10 == 4
{txt}(274 real changes made)

{com}.                         replace rep_unfav_w2 = 0.50  if W2L9 == 1 & W2L10 == 3
{txt}(365 real changes made)

{com}.                         replace rep_unfav_w2 = 0.75  if W2L9 == 1 & W2L10 == 2
{txt}(216 real changes made)

{com}.                         replace rep_unfav_w2 = 1  if W2L9 == 1 & W2L10 == 1
{txt}(150 real changes made)

{com}.                 
.                 *ID Consistent
.                         gen consistent_w2 = .
{txt}(4240 missing values generated)

{com}.                         replace consistent_w2 = dem_fav_w2 + rep_unfav_w2 if pid_31 == 1
{txt}(628 real changes made)

{com}.                         replace consistent_w2 = dem_unfav_w2 + rep_fav_w2 if pid_31 == 2
{txt}(586 real changes made)

{com}.                         label var consistent_w2 "Partisan Identity Consistent Likes/Dislikes (W2)"
{txt}
{com}.                         
.                 *ID Conflicting
.                         gen conflicting_w2 = .
{txt}(4240 missing values generated)

{com}.                         replace conflicting_w2 = dem_unfav_w2 + rep_fav_w2 if pid_31 == 1
{txt}(628 real changes made)

{com}.                         replace conflicting_w2 = dem_fav_w2 + rep_unfav_w2 if pid_31 == 2
{txt}(583 real changes made)

{com}.                         label var conflicting_w2 "Partisan Identity Conflicting Likes/Dislikes (W2)"
{txt}
{com}.                         
.                 *In vs. out Fav/unfav
. 
.                         gen in_like_w2 = .
{txt}(4240 missing values generated)

{com}.                         replace in_like_w2  = dem_fav_w2 if pid_31 == 1
{txt}(628 real changes made)

{com}.                         replace in_like_w2 =  rep_fav_w2 if pid_31 == 2
{txt}(586 real changes made)

{com}.                 
.                         gen in_dislike_w2 = .
{txt}(4240 missing values generated)

{com}.                         replace in_dislike_w2 = dem_unfav_w2 if pid_31 == 1
{txt}(628 real changes made)

{com}.                         replace in_dislike_w2 = rep_unfav_w2 if pid_31 == 2
{txt}(583 real changes made)

{com}.                         
.                         gen out_like_w2 = .
{txt}(4240 missing values generated)

{com}.                         replace out_like_w2 = rep_fav_w2 if pid_31 == 1
{txt}(629 real changes made)

{com}.                         replace out_like_w2 = dem_fav_w2 if pid_31 == 2
{txt}(585 real changes made)

{com}.                         
.                         gen out_dislike_w2 = .
{txt}(4240 missing values generated)

{com}.                         replace out_dislike_w2 = rep_unfav_w2 if pid_31 == 1
{txt}(629 real changes made)

{com}.                         replace out_dislike_w2 = dem_unfav_w2 if pid_31 == 2
{txt}(586 real changes made)

{com}.                         
.                         recode in_like_w2 in_dislike_w2 out_like_w2 out_dislike_w2      (0 = 1) (0.25 = 2) (0.5 = 3) (0.75 =4) (1 = 5)
{txt}(in_like_w2: 1214 changes made)
(in_dislike_w2: 1211 changes made)
(out_like_w2: 1214 changes made)
(out_dislike_w2: 1215 changes made)

{com}.                         
.                         label var in_like_w2 "In-Party: Favorable (W2)"
{txt}
{com}.                         label var in_dislike_w2 "In-Party: Unfavorable (W2)"
{txt}
{com}.                         label var out_like_w2 "Out_Party: Favorable (W2)"
{txt}
{com}.                         label var out_dislike_w2 "Out_Party: Unfavorable (W2)"                  
{txt}
{com}.                                 
.                         label def fav 1 "No Fav. Thoughts" 2 "Slightly Favorable" 3 "Moderately Favorable" 4 "Very Favorable" 5 "Extremely Favorable"
{txt}
{com}.                         label values in_like_w2 out_like_w2 fav
{txt}
{com}.                         label def unfav 1 "No Unfav. Thoughts" 2 "Slightly Unfavorable" 3 "Moderately Unfavorable" 4 "Very Unfavorable" 5 "Extremely Unfavorable"
{txt}
{com}.                         label values in_dislike_w2 out_dislike_w2 unfav
{txt}
{com}.                         
.                         
.                         
.                         
. *W11                    
.                 *Fav: Dem
.                         gen dem_fav_w11 = . 
{txt}(4240 missing values generated)

{com}.                         replace dem_fav_w11 = 0 if W11LB2 == 2
{txt}(941 real changes made)

{com}.                         replace dem_fav_w11 = 0.25  if W11LB2 == 1 & W11LB4 == 4
{txt}(351 real changes made)

{com}.                         replace dem_fav_w11 = 0.50  if W11LB2 == 1 & W11LB4 == 3
{txt}(651 real changes made)

{com}.                         replace dem_fav_w11 = 0.75  if W11LB2 == 1 & W11LB4 == 2
{txt}(539 real changes made)

{com}.                         replace dem_fav_w11 = 1  if W11LB2 == 1 & W11LB4 == 1
{txt}(177 real changes made)

{com}. 
.                 *Unfav: Dem
.                         gen dem_unfav_w11 = .
{txt}(4240 missing values generated)

{com}.                         replace dem_unfav_w11 = 0 if W11LB3 == 2
{txt}(1086 real changes made)

{com}.                         replace dem_unfav_w11 = 0.25  if W11LB3 == 1 & W11LB5 == 4
{txt}(455 real changes made)

{com}.                         replace dem_unfav_w11 = 0.50  if W11LB3 == 1 & W11LB5 == 3
{txt}(582 real changes made)

{com}.                         replace dem_unfav_w11 = 0.75  if W11LB3 == 1 & W11LB5 == 2
{txt}(337 real changes made)

{com}.                         replace dem_unfav_w11 = 1  if W11LB3 == 1 & W11LB5 == 1
{txt}(201 real changes made)

{com}.                 
.                 *Rep:Fav
.                         gen rep_fav_w11 = . 
{txt}(4240 missing values generated)

{com}.                         replace rep_fav_w11 = 0 if W11LB7 == 2
{txt}(1178 real changes made)

{com}.                         replace rep_fav_w11 = 0.25  if W11LB7 == 1 & W11LB9 == 4
{txt}(377 real changes made)

{com}.                         replace rep_fav_w11 = 0.50  if W11LB7 == 1 & W11LB9 == 3
{txt}(661 real changes made)

{com}.                         replace rep_fav_w11 = 0.75  if W11LB7 == 1 & W11LB9 == 2
{txt}(367 real changes made)

{com}.                         replace rep_fav_w11 = 1  if W11LB7 == 1 & W11LB9 == 1
{txt}(80 real changes made)

{com}.                 
.                 
.                 *Rep:Unfav
.                         gen rep_unfav_w11 = .
{txt}(4240 missing values generated)

{com}.                         replace rep_unfav_w11 = 0 if W11LB8 == 2
{txt}(825 real changes made)

{com}.                         replace rep_unfav_w11 = 0.25  if W11LB8 == 1 & W11LB10 == 4
{txt}(281 real changes made)

{com}.                         replace rep_unfav_w11 = 0.50  if W11LB8 == 1 & W11LB10 == 3
{txt}(642 real changes made)

{com}.                         replace rep_unfav_w11 = 0.75  if W11LB8 == 1 & W11LB10 == 2
{txt}(464 real changes made)

{com}.                         replace rep_unfav_w11 = 1  if W11LB8 == 1 & W11LB10 == 1
{txt}(215 real changes made)

{com}.                 
.                 *ID Consistent
.                         gen consistent_w11 = .
{txt}(4240 missing values generated)

{com}.                         replace consistent_w11 = dem_fav_w11 + rep_unfav_w11 if pid_39 == 1
{txt}(1112 real changes made)

{com}.                         replace consistent_w11 = dem_unfav_w11 + rep_fav_w11 if pid_39 == 2
{txt}(1046 real changes made)

{com}.                         label var consistent_w11 "Partisan Identity Consistent Likes/Dislikes (W10)"
{txt}
{com}.                         
.                 *ID Conflicting
.                         gen conflicting_w11 = .
{txt}(4240 missing values generated)

{com}.                         replace conflicting_w11 = dem_unfav_w11 + rep_fav_w11 if pid_39 == 1
{txt}(1127 real changes made)

{com}.                         replace conflicting_w11 = dem_fav_w11 + rep_unfav_w11 if pid_39 == 2
{txt}(851 real changes made)

{com}.                         label var conflicting_w11 "Partisan Identity Conclifting Likes/Dislikes (W10)"
{txt}
{com}.                         
.                         *Earlier PID 
.                                         *ID Consistent
.                                         gen consistent_w11a = .
{txt}(4240 missing values generated)

{com}.                                         replace consistent_w11a = dem_fav_w11 + rep_unfav_w11 if pid_31 == 1
{txt}(607 real changes made)

{com}.                                         replace consistent_w11a = dem_unfav_w11 + rep_fav_w11 if pid_31 == 2
{txt}(595 real changes made)

{com}.                                         label var consistent_w11a "Partisan Identity Consistent Likes/Dislikes (W10)"
{txt}
{com}.                                         
.                                 *ID Conflicting
.                                         gen conflicting_w11a = .
{txt}(4240 missing values generated)

{com}.                                         replace conflicting_w11a = dem_unfav_w11 + rep_fav_w11 if pid_31 == 1
{txt}(614 real changes made)

{com}.                                         replace conflicting_w11a = dem_fav_w11 + rep_unfav_w11 if pid_31 == 2
{txt}(491 real changes made)

{com}.                                         label var conflicting_w11a "Partisan Identity Conclifting Likes/Dislikes (W10)"
{txt}
{com}.                 
.                                 
.         
.                         gen in_like_w11 = .
{txt}(4240 missing values generated)

{com}.                         replace in_like_w11  = dem_fav_w11 if pid_31 == 1
{txt}(614 real changes made)

{com}.                         replace in_like_w11 =  rep_fav_w11 if pid_31 == 2
{txt}(596 real changes made)

{com}.                 
.                         gen in_dislike_w11 = .
{txt}(4240 missing values generated)

{com}.                         replace in_dislike_w11 = dem_unfav_w11 if pid_31 == 1
{txt}(614 real changes made)

{com}.                         replace in_dislike_w11 = rep_unfav_w11 if pid_31 == 2
{txt}(494 real changes made)

{com}.                         
.                         gen out_like_w11 = .
{txt}(4240 missing values generated)

{com}.                         replace out_like_w11 = rep_fav_w11 if pid_31 == 1
{txt}(615 real changes made)

{com}.                         replace out_like_w11 = dem_fav_w11 if pid_31 == 2
{txt}(593 real changes made)

{com}.                         
.                         gen out_dislike_w11 = .
{txt}(4240 missing values generated)

{com}.                         replace out_dislike_w11 = rep_unfav_w11 if pid_31 == 1
{txt}(607 real changes made)

{com}.                         replace out_dislike_w11 = dem_unfav_w11 if pid_31 == 2
{txt}(595 real changes made)

{com}.                         
.                         label var in_like_w11 "In-Party: Favorable (W11)"
{txt}
{com}.                         label var in_dislike_w11 "In-Party: Unfavorable (W11)"
{txt}
{com}.                         label var out_like_w11 "Out_Party: Favorable (W11)"
{txt}
{com}.                         label var out_dislike_w11 "Out_Party: Unfavorable (W11)"                        
{txt}
{com}.                                 
.                         recode in_like_w11 in_dislike_w11 out_like_w11 out_dislike_w11 ///
>                                 (0 = 1) (0.25 = 2) (0.5 = 3) (0.75 =4) (1 = 5)
{txt}(in_like_w11: 1210 changes made)
(in_dislike_w11: 1108 changes made)
(out_like_w11: 1208 changes made)
(out_dislike_w11: 1202 changes made)

{com}.                         
.                         label values in_like_w11 out_like_w11 fav
{txt}
{com}.                         label values in_dislike_w11 out_dislike_w11 unfav
{txt}
{com}.                         
.                         
.                         
.                                 
.                         
. *Matching
. 
. gen black = .
{txt}(4240 missing values generated)

{com}. replace black = 1 if race == 2
{txt}(492 real changes made)

{com}. replace black = 0 if race == 1
{txt}(3292 real changes made)

{com}. replace black = 0 if race >=3 & race <=4
{txt}(456 real changes made)

{com}. 
. tabulate pid_str1, gen(pstr1_)

    {txt}PID Str {c |}
       (W1) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       Lean {c |}{res}        321       22.70       22.70
{txt} Not Strong {c |}{res}        489       34.58       57.28
{txt}     Strong {c |}{res}        604       42.72      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,414      100.00
{txt}
{com}. 
. 
. recode DER09W1 (-7=.) (-4=.) (-6=.) (-5=.) ///
>         (1=4) (2=3) (3=2) (4=1) ///
>         (7=4) (6=3) (5=2), gen(ideol_str1)
{txt}(4240 differences between DER09W1 and ideol_str1)

{com}.         
. recode DER09W2 (-7=.) (-6=.) (-5=.) ///
>         (1=4) (2=3) (3=2) (4=1) ///
>         (7=4) (6=3) (5=2), gen(ideol_str2)
{txt}(4240 differences between DER09W2 and ideol_str2)

{com}. 
. summ interest_w9

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 1}interest_w9 {c |}{res}      2739    3.686017    .9908225          1          5
{txt}
{com}. gen interest_w901 = (interest_w9 - r(min))/(r(max)-r(min))
{txt}(1501 missing values generated)

{com}. label var interest_w901 "Political Interest" 
{txt}
{com}. 
. 
. **Need for cognition and need to evaluate***
. 
. recode W11ZE1 (1=4) (2=3) (3=2) (4=1) (-5 -6 -7 =.), gen(opinionated)
{txt}(4240 differences between W11ZE1 and opinionated)

{com}. 
. gen opinion_degree = . 
{txt}(4240 missing values generated)

{com}. replace opinion_degree = 1  if W11ZE2 == 1 & W11ZE3B == 1
{txt}(46 real changes made)

{com}. replace opinion_degree = 2  if W11ZE2 == 1 & W11ZE3B == 2
{txt}(263 real changes made)

{com}. replace opinion_degree = 3  if W11ZE2 == 2
{txt}(1684 real changes made)

{com}. replace opinion_degree = 4  if W11ZE2 == 3 & W11ZE3A == 2
{txt}(373 real changes made)

{com}. replace opinion_degree = 5  if W11ZE2 == 3 & W11ZE3A == 1
{txt}(292 real changes made)

{com}. 
. foreach var in opinionated opinion_degree {c -(}
{txt}  2{com}.         summ `var'
{txt}  3{com}.         gen `var'01 = (`var' - r(min))/(r(max)-r(min))
{txt}  4{com}.         {c )-}

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 1}opinionated {c |}{res}      2662    2.802404    .7817114          1          4
{txt}(1578 missing values generated)

    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
opinion_de~e {c |}{res}      2658    3.226486    .8348036          1          5
{txt}(1582 missing values generated)

{com}. 
. egen evaluate = rowmean(opinionated01 opinion_degree01)
{txt}(1578 missing values generated)

{com}. egen evaluate1 = rowtotal(opinionated01 opinion_degree01), missing
{txt}(1578 missing values generated)

{com}. 
. label var evaluate1 "Need to Evaluate"
{txt}
{com}. 
. 
. recode W11ZE6 (1=0) (2=1) (-5 -6 -7 =.), gen(complex)
{txt}(4240 differences between W11ZE6 and complex)

{com}. 
. gen thinking = . 
{txt}(4240 missing values generated)

{com}. replace thinking = 1  if W11ZE4 == 2 & W11ZE5B == 1
{txt}(86 real changes made)

{com}. replace thinking = 2  if W11ZE4 == 2 & W11ZE5B == 2
{txt}(141 real changes made)

{com}. replace thinking = 3  if W11ZE4 == 3
{txt}(1092 real changes made)

{com}. replace thinking = 4  if W11ZE4 == 1 & W11ZE5A == 2
{txt}(512 real changes made)

{com}. replace thinking = 5  if W11ZE4 == 1 & W11ZE5A == 1
{txt}(830 real changes made)

{com}. 
. recode thinking (1=0) (2=0.25) (3=0.5) (4=0.75) (5=1), gen(thinking01)
{txt}(2661 differences between thinking and thinking01)

{com}. 
. egen nfc = rowmean(thinking01 complex)
{txt}(1578 missing values generated)

{com}. egen nfc1 = rowtotal(thinking01 complex), missing
{txt}(1578 missing values generated)

{com}. 
. label var nfc1 "Need for Cognition"
{txt}
{com}. 
. 
. 
. 
{txt}end of do-file

{com}. set more off
{txt}
{com}. 
. *May*
. rename partisan_9rev partisan
{res}{txt}
{com}.                 
. eststo: logit def_knowl17 i.partisan c.disagree_total numgiven1 network_interest  interest_w9 i.gender i.race i.marital ///
>         age educ income nfc1 evaluate1 [pweight= WGTPP17]

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-653.67698}  
Iteration 1:{space 3}log pseudolikelihood = {res:-568.30806}  
Iteration 2:{space 3}log pseudolikelihood = {res:-557.99445}  
Iteration 3:{space 3}log pseudolikelihood = {res: -557.8805}  
Iteration 4:{space 3}log pseudolikelihood = {res:-557.88042}  
Iteration 5:{space 3}log pseudolikelihood = {res:-557.88042}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}      1447
{txt}{col 51}Wald chi2({res}15{txt}){col 67}= {res}     81.50
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-557.88042{txt}{col 51}Pseudo R2{col 67}= {res}    0.1466

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     def_knowl17{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}partisan {c |}
{space 4}In-Partisan  {c |}{col 18}{res}{space 2}-1.111865{col 30}{space 2} .2655302{col 41}{space 1}   -4.19{col 50}{space 3}0.000{col 58}{space 4}-1.632295{col 71}{space 3}-.5914353
{txt}{space 2}disagree_total {c |}{col 18}{res}{space 2} .0260061{col 30}{space 2} .0566522{col 41}{space 1}    0.46{col 50}{space 3}0.646{col 58}{space 4}-.0850301{col 71}{space 3} .1370424
{txt}{space 7}numgiven1 {c |}{col 18}{res}{space 2} .3966733{col 30}{space 2} .2057939{col 41}{space 1}    1.93{col 50}{space 3}0.054{col 58}{space 4}-.0066753{col 71}{space 3} .8000218
{txt}network_interest {c |}{col 18}{res}{space 2}-.0630385{col 30}{space 2} .1313353{col 41}{space 1}   -0.48{col 50}{space 3}0.631{col 58}{space 4}-.3204509{col 71}{space 3} .1943739
{txt}{space 5}interest_w9 {c |}{col 18}{res}{space 2}-.1200729{col 30}{space 2} .1523846{col 41}{space 1}   -0.79{col 50}{space 3}0.431{col 58}{space 4}-.4187413{col 71}{space 3} .1785954
{txt}{space 16} {c |}
{space 10}gender {c |}
{space 9}Female  {c |}{col 18}{res}{space 2}-.6482377{col 30}{space 2} .2549526{col 41}{space 1}   -2.54{col 50}{space 3}0.011{col 58}{space 4}-1.147936{col 71}{space 3}-.1485398
{txt}{space 16} {c |}
{space 8}race_eth {c |}
{space 10}Black  {c |}{col 18}{res}{space 2}-1.084087{col 30}{space 2} .3047556{col 41}{space 1}   -3.56{col 50}{space 3}0.000{col 58}{space 4}-1.681397{col 71}{space 3}-.4867771
{txt}{space 7}Hispanic  {c |}{col 18}{res}{space 2}-.7314225{col 30}{space 2} .4237306{col 41}{space 1}   -1.73{col 50}{space 3}0.084{col 58}{space 4}-1.561919{col 71}{space 3} .0990743
{txt}{space 10}Other  {c |}{col 18}{res}{space 2} -.467497{col 30}{space 2} .7093263{col 41}{space 1}   -0.66{col 50}{space 3}0.510{col 58}{space 4}-1.857751{col 71}{space 3}  .922757
{txt}{space 16} {c |}
{space 9}marital {c |}
{space 8}Married  {c |}{col 18}{res}{space 2} .2488861{col 30}{space 2} .2557705{col 41}{space 1}    0.97{col 50}{space 3}0.331{col 58}{space 4}-.2524149{col 71}{space 3} .7501871
{txt}{space 13}age {c |}{col 18}{res}{space 2} .0185732{col 30}{space 2} .0081296{col 41}{space 1}    2.28{col 50}{space 3}0.022{col 58}{space 4} .0026394{col 71}{space 3}  .034507
{txt}{space 12}educ {c |}{col 18}{res}{space 2} .0145927{col 30}{space 2} .1421457{col 41}{space 1}    0.10{col 50}{space 3}0.918{col 58}{space 4}-.2640077{col 71}{space 3} .2931932
{txt}{space 10}income {c |}{col 18}{res}{space 2}-.0253691{col 30}{space 2} .0313124{col 41}{space 1}   -0.81{col 50}{space 3}0.418{col 58}{space 4}-.0867403{col 71}{space 3} .0360021
{txt}{space 12}nfc1 {c |}{col 18}{res}{space 2} .0685751{col 30}{space 2} .1737867{col 41}{space 1}    0.39{col 50}{space 3}0.693{col 58}{space 4}-.2720405{col 71}{space 3} .4091907
{txt}{space 7}evaluate1 {c |}{col 18}{res}{space 2} .2961455{col 30}{space 2} .3314003{col 41}{space 1}    0.89{col 50}{space 3}0.372{col 58}{space 4}-.3533871{col 71}{space 3} .9456781
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} 1.258781{col 30}{space 2} .9651145{col 41}{space 1}    1.30{col 50}{space 3}0.192{col 58}{space 4}-.6328087{col 71}{space 3}  3.15037
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est3{txt} stored)

{com}.         
.         margins, dydx(partisan)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}      1447
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(def_knowl17), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.partisan}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}partisan {c |}
In-Partisan  {c |}{col 14}{res}{space 2}-.1409984{col 26}{space 2} .0318416{col 37}{space 1}   -4.43{col 46}{space 3}0.000{col 54}{space 4}-.2034068{col 67}{space 3}-.0785899
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}.         
.         margins partisan
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}      1447
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(def_knowl17), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27} Delta-method
{col 15}{c |}     Margin{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}partisan {c |}
Out-Partisan  {c |}{col 15}{res}{space 2} .8949503{col 27}{space 2} .0201443{col 38}{space 1}   44.43{col 47}{space 3}0.000{col 55}{space 4} .8554683{col 68}{space 3} .9344323
{txt}{space 1}In-Partisan  {c |}{col 15}{res}{space 2} .7539519{col 27}{space 2} .0228171{col 38}{space 1}   33.04{col 47}{space 3}0.000{col 55}{space 4} .7092312{col 68}{space 3} .7986727
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
. eststo: logit def_knowl17 i.partisan##c.disagree_total numgiven1 network_interest interest_w9 i.gender i.race i.marital ///
>         age educ income nfc1 evaluate1  [pweight= WGTPP17]

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-653.67698}  
Iteration 1:{space 3}log pseudolikelihood = {res:-568.09984}  
Iteration 2:{space 3}log pseudolikelihood = {res:-557.77601}  
Iteration 3:{space 3}log pseudolikelihood = {res:-557.66357}  
Iteration 4:{space 3}log pseudolikelihood = {res: -557.6635}  
Iteration 5:{space 3}log pseudolikelihood = {res: -557.6635}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}      1447
{txt}{col 51}Wald chi2({res}16{txt}){col 67}= {res}     83.22
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -557.6635{txt}{col 51}Pseudo R2{col 67}= {res}    0.1469

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}              def_knowl17{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}partisan {c |}
{space 13}In-Partisan  {c |}{col 27}{res}{space 2}-1.059497{col 39}{space 2} .2878111{col 50}{space 1}   -3.68{col 59}{space 3}0.000{col 67}{space 4}-1.623597{col 80}{space 3}-.4953979
{txt}{space 11}disagree_total {c |}{col 27}{res}{space 2}-.0172163{col 39}{space 2} .1094754{col 50}{space 1}   -0.16{col 59}{space 3}0.875{col 67}{space 4}-.2317841{col 80}{space 3} .1973515
{txt}{space 25} {c |}
partisan#c.disagree_total {c |}
{space 13}In-Partisan  {c |}{col 27}{res}{space 2} .0610493{col 39}{space 2} .1346812{col 50}{space 1}    0.45{col 59}{space 3}0.650{col 67}{space 4}-.2029211{col 80}{space 3} .3250196
{txt}{space 25} {c |}
{space 16}numgiven1 {c |}{col 27}{res}{space 2} .3942594{col 39}{space 2} .2038639{col 50}{space 1}    1.93{col 59}{space 3}0.053{col 67}{space 4}-.0053064{col 80}{space 3} .7938253
{txt}{space 9}network_interest {c |}{col 27}{res}{space 2} -.063321{col 39}{space 2} .1315519{col 50}{space 1}   -0.48{col 59}{space 3}0.630{col 67}{space 4}-.3211579{col 80}{space 3}  .194516
{txt}{space 14}interest_w9 {c |}{col 27}{res}{space 2}-.1209955{col 39}{space 2} .1528665{col 50}{space 1}   -0.79{col 59}{space 3}0.429{col 67}{space 4}-.4206083{col 80}{space 3} .1786174
{txt}{space 25} {c |}
{space 19}gender {c |}
{space 18}Female  {c |}{col 27}{res}{space 2}-.6528869{col 39}{space 2} .2527712{col 50}{space 1}   -2.58{col 59}{space 3}0.010{col 67}{space 4}-1.148309{col 80}{space 3}-.1574645
{txt}{space 25} {c |}
{space 17}race_eth {c |}
{space 19}Black  {c |}{col 27}{res}{space 2}-1.060426{col 39}{space 2} .3114591{col 50}{space 1}   -3.40{col 59}{space 3}0.001{col 67}{space 4}-1.670874{col 80}{space 3}-.4499774
{txt}{space 16}Hispanic  {c |}{col 27}{res}{space 2}-.7228835{col 39}{space 2} .4257603{col 50}{space 1}   -1.70{col 59}{space 3}0.090{col 67}{space 4}-1.557358{col 80}{space 3} .1115914
{txt}{space 19}Other  {c |}{col 27}{res}{space 2}-.4889776{col 39}{space 2} .7088675{col 50}{space 1}   -0.69{col 59}{space 3}0.490{col 67}{space 4}-1.878332{col 80}{space 3} .9003773
{txt}{space 25} {c |}
{space 18}marital {c |}
{space 17}Married  {c |}{col 27}{res}{space 2} .2468029{col 39}{space 2}  .257398{col 50}{space 1}    0.96{col 59}{space 3}0.338{col 67}{space 4} -.257688{col 80}{space 3} .7512938
{txt}{space 22}age {c |}{col 27}{res}{space 2} .0187865{col 39}{space 2} .0081927{col 50}{space 1}    2.29{col 59}{space 3}0.022{col 67}{space 4} .0027291{col 80}{space 3} .0348439
{txt}{space 21}educ {c |}{col 27}{res}{space 2} .0164363{col 39}{space 2} .1421243{col 50}{space 1}    0.12{col 59}{space 3}0.908{col 67}{space 4}-.2621222{col 80}{space 3} .2949948
{txt}{space 19}income {c |}{col 27}{res}{space 2}-.0256288{col 39}{space 2} .0311675{col 50}{space 1}   -0.82{col 59}{space 3}0.411{col 67}{space 4}-.0867159{col 80}{space 3} .0354583
{txt}{space 21}nfc1 {c |}{col 27}{res}{space 2}  .065491{col 39}{space 2} .1730314{col 50}{space 1}    0.38{col 59}{space 3}0.705{col 67}{space 4}-.2736443{col 80}{space 3} .4046262
{txt}{space 16}evaluate1 {c |}{col 27}{res}{space 2} .3051392{col 39}{space 2} .3309887{col 50}{space 1}    0.92{col 59}{space 3}0.357{col 67}{space 4}-.3435868{col 80}{space 3} .9538652
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 1.218137{col 39}{space 2} .9680723{col 50}{space 1}    1.26{col 59}{space 3}0.208{col 67}{space 4}-.6792496{col 80}{space 3} 3.115524
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est4{txt} stored)

{com}.         
.         margins, dydx(disagree_total) by(partisan)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}      1447
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(def_knowl17), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:disagree_total}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:partisan}{p_end}
{p2colreset}{...}

{res}{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28} Delta-method
{col 16}{c |}      dy/dx{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}disagree_total {txt}{c |}
{space 6}partisan {c |}
{space 1}Out-Partisan  {c |}{col 16}{res}{space 2}-.0012819{col 28}{space 2} .0081359{col 39}{space 1}   -0.16{col 48}{space 3}0.875{col 56}{space 4}-.0172279{col 69}{space 3} .0146641
{txt}{space 2}In-Partisan  {c |}{col 16}{res}{space 2} .0078731{col 28}{space 2} .0125946{col 39}{space 1}    0.63{col 48}{space 3}0.532{col 56}{space 4}-.0168119{col 69}{space 3} .0325581
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         summ disagree_total, detail

                    {txt}Network Disagreement
{hline 61}
      Percentiles      Smallest
 1%    {res}       -3             -3
{txt} 5%    {res}       -3             -3
{txt}10%    {res}       -3             -3       {txt}Obs         {res}       2096
{txt}25%    {res}       -3             -3       {txt}Sum of Wgt. {res}       2096

{txt}50%    {res}       -1                      {txt}Mean          {res}-.8525763
                        {txt}Largest       Std. Dev.     {res} 2.001842
{txt}75%    {res}        1              3
{txt}90%    {res}        3              3       {txt}Variance      {res} 4.007373
{txt}95%    {res}        3              3       {txt}Skewness      {res} .5136914
{txt}99%    {res}        3              3       {txt}Kurtosis      {res} 2.113602
{txt}
{com}.         margins partisan, at(disagree_total=(-3 3))
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}      1447
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(def_knowl17), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 9}-3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{res}{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29} Delta-method
{col 17}{c |}     Margin{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}_at#partisan {c |}
1#Out-Partisan  {c |}{col 17}{res}{space 2}  .899128{col 29}{space 2} .0292244{col 40}{space 1}   30.77{col 49}{space 3}0.000{col 57}{space 4} .8418492{col 70}{space 3} .9564069
{txt}{space 1}1#In-Partisan  {c |}{col 17}{res}{space 2} .7394219{col 29}{space 2} .0345986{col 40}{space 1}   21.37{col 49}{space 3}0.000{col 57}{space 4}   .67161{col 70}{space 3} .8072338
{txt}2#Out-Partisan  {c |}{col 17}{res}{space 2} .8899601{col 29}{space 2} .0424661{col 40}{space 1}   20.96{col 49}{space 3}0.000{col 57}{space 4}  .806728{col 70}{space 3} .9731922
{txt}{space 1}2#In-Partisan  {c |}{col 17}{res}{space 2} .7825774{col 29}{space 2} .0475131{col 40}{space 1}   16.47{col 49}{space 3}0.000{col 57}{space 4} .6894535{col 70}{space 3} .8757014
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         margins partisan, at(disagree_total=(-3(1)3)) 
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}      1447
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(def_knowl17), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 9}-3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 9}-2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 9}-1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{res}{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29} Delta-method
{col 17}{c |}     Margin{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}_at#partisan {c |}
1#Out-Partisan  {c |}{col 17}{res}{space 2}  .899128{col 29}{space 2} .0292244{col 40}{space 1}   30.77{col 49}{space 3}0.000{col 57}{space 4} .8418492{col 70}{space 3} .9564069
{txt}{space 1}1#In-Partisan  {c |}{col 17}{res}{space 2} .7394219{col 29}{space 2} .0345986{col 40}{space 1}   21.37{col 49}{space 3}0.000{col 57}{space 4}   .67161{col 70}{space 3} .8072338
{txt}2#Out-Partisan  {c |}{col 17}{res}{space 2} .8976462{col 29}{space 2} .0233688{col 40}{space 1}   38.41{col 49}{space 3}0.000{col 57}{space 4} .8518442{col 70}{space 3} .9434483
{txt}{space 1}2#In-Partisan  {c |}{col 17}{res}{space 2} .7469572{col 29}{space 2} .0265421{col 40}{space 1}   28.14{col 49}{space 3}0.000{col 57}{space 4} .6949356{col 70}{space 3} .7989788
{txt}3#Out-Partisan  {c |}{col 17}{res}{space 2} .8961462{col 29}{space 2} .0201625{col 40}{space 1}   44.45{col 49}{space 3}0.000{col 57}{space 4} .8566283{col 70}{space 3}  .935664
{txt}{space 1}3#In-Partisan  {c |}{col 17}{res}{space 2} .7543576{col 29}{space 2} .0228138{col 40}{space 1}   33.07{col 49}{space 3}0.000{col 57}{space 4} .7096433{col 70}{space 3} .7990719
{txt}4#Out-Partisan  {c |}{col 17}{res}{space 2} .8946276{col 29}{space 2}  .021178{col 40}{space 1}   42.24{col 49}{space 3}0.000{col 57}{space 4} .8531194{col 70}{space 3} .9361358
{txt}{space 1}4#In-Partisan  {c |}{col 17}{res}{space 2} .7616212{col 29}{space 2} .0247796{col 40}{space 1}   30.74{col 49}{space 3}0.000{col 57}{space 4}  .713054{col 70}{space 3} .8101884
{txt}5#Out-Partisan  {c |}{col 17}{res}{space 2} .8930905{col 29}{space 2} .0261866{col 40}{space 1}   34.10{col 49}{space 3}0.000{col 57}{space 4} .8417658{col 70}{space 3} .9444153
{txt}{space 1}5#In-Partisan  {c |}{col 17}{res}{space 2} .7687466{col 29}{space 2} .0308961{col 40}{space 1}   24.88{col 49}{space 3}0.000{col 57}{space 4} .7081914{col 70}{space 3} .8293018
{txt}6#Out-Partisan  {c |}{col 17}{res}{space 2} .8915347{col 29}{space 2} .0336517{col 40}{space 1}   26.49{col 49}{space 3}0.000{col 57}{space 4} .8255786{col 70}{space 3} .9574908
{txt}{space 1}6#In-Partisan  {c |}{col 17}{res}{space 2} .7757324{col 29}{space 2} .0388858{col 40}{space 1}   19.95{col 49}{space 3}0.000{col 57}{space 4} .6995176{col 70}{space 3} .8519471
{txt}7#Out-Partisan  {c |}{col 17}{res}{space 2} .8899601{col 29}{space 2} .0424661{col 40}{space 1}   20.96{col 49}{space 3}0.000{col 57}{space 4}  .806728{col 70}{space 3} .9731922
{txt}{space 1}7#In-Partisan  {c |}{col 17}{res}{space 2} .7825774{col 29}{space 2} .0475131{col 40}{space 1}   16.47{col 49}{space 3}0.000{col 57}{space 4} .6894535{col 70}{space 3} .8757014
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         marginsplot, scheme(s1mono) xline(-3, lpattern(dot)) xline(3, lpattern(dot)) title("ANES 2008-2009:" "May 2009" , size(medium)) ///
>                 ytitle("Pr(Correct)") xtitle("Disagreement") ylabel(0(0.2)1) ///
>                 text(0.1 2 "In: b=0.01, z=0.63" ///
>                 0.01 2 "Out: b=-0.001, z=-0.16", just(right) size(small))

{text}{p 2 6 2}Variables that uniquely identify margins: disagree_total partisan{p_end}
{res}{txt}
{com}.         
.         graph save "MAY 2008 - Knowledge (updated)", replace
{res}{txt}(file MAY 2008 - Knowledge (updated).gph saved)

{com}.                         
. *July*
. eststo: logit def_knowl19 i.partisan c.disagree_total numgiven1 network_interest interest_w9 i.gender i.race i.marital age educ income nfc1 evaluate1 [pweight= WGTPP19]

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-626.92863}  
Iteration 1:{space 3}log pseudolikelihood = {res:-508.65178}  
Iteration 2:{space 3}log pseudolikelihood = {res:-491.63306}  
Iteration 3:{space 3}log pseudolikelihood = {res:-491.16704}  
Iteration 4:{space 3}log pseudolikelihood = {res:-491.16571}  
Iteration 5:{space 3}log pseudolikelihood = {res:-491.16571}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}      1353
{txt}{col 51}Wald chi2({res}15{txt}){col 67}= {res}    114.78
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-491.16571{txt}{col 51}Pseudo R2{col 67}= {res}    0.2166

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     def_knowl19{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}partisan {c |}
{space 4}In-Partisan  {c |}{col 18}{res}{space 2} -1.58085{col 30}{space 2} .2953659{col 41}{space 1}   -5.35{col 50}{space 3}0.000{col 58}{space 4}-2.159756{col 71}{space 3}-1.001943
{txt}{space 2}disagree_total {c |}{col 18}{res}{space 2} .1220306{col 30}{space 2} .0728913{col 41}{space 1}    1.67{col 50}{space 3}0.094{col 58}{space 4}-.0208336{col 71}{space 3} .2648948
{txt}{space 7}numgiven1 {c |}{col 18}{res}{space 2}-.7277702{col 30}{space 2} .2978323{col 41}{space 1}   -2.44{col 50}{space 3}0.015{col 58}{space 4}-1.311511{col 71}{space 3}-.1440296
{txt}network_interest {c |}{col 18}{res}{space 2}-.2571547{col 30}{space 2} .1445018{col 41}{space 1}   -1.78{col 50}{space 3}0.075{col 58}{space 4} -.540373{col 71}{space 3} .0260636
{txt}{space 5}interest_w9 {c |}{col 18}{res}{space 2} .2189085{col 30}{space 2} .1460915{col 41}{space 1}    1.50{col 50}{space 3}0.134{col 58}{space 4}-.0674256{col 71}{space 3} .5052426
{txt}{space 16} {c |}
{space 10}gender {c |}
{space 9}Female  {c |}{col 18}{res}{space 2}-.3329061{col 30}{space 2} .2514174{col 41}{space 1}   -1.32{col 50}{space 3}0.185{col 58}{space 4}-.8256752{col 71}{space 3} .1598629
{txt}{space 16} {c |}
{space 8}race_eth {c |}
{space 10}Black  {c |}{col 18}{res}{space 2}-1.441019{col 30}{space 2} .3325676{col 41}{space 1}   -4.33{col 50}{space 3}0.000{col 58}{space 4} -2.09284{col 71}{space 3}-.7891988
{txt}{space 7}Hispanic  {c |}{col 18}{res}{space 2}-.6340114{col 30}{space 2} .4682165{col 41}{space 1}   -1.35{col 50}{space 3}0.176{col 58}{space 4}-1.551699{col 71}{space 3} .2836762
{txt}{space 10}Other  {c |}{col 18}{res}{space 2}-.1764953{col 30}{space 2} .6466529{col 41}{space 1}   -0.27{col 50}{space 3}0.785{col 58}{space 4}-1.443912{col 71}{space 3} 1.090921
{txt}{space 16} {c |}
{space 9}marital {c |}
{space 8}Married  {c |}{col 18}{res}{space 2}-.0941431{col 30}{space 2} .2525863{col 41}{space 1}   -0.37{col 50}{space 3}0.709{col 58}{space 4}-.5892031{col 71}{space 3} .4009169
{txt}{space 13}age {c |}{col 18}{res}{space 2} .0209459{col 30}{space 2} .0073213{col 41}{space 1}    2.86{col 50}{space 3}0.004{col 58}{space 4} .0065965{col 71}{space 3} .0352953
{txt}{space 12}educ {c |}{col 18}{res}{space 2} .0421689{col 30}{space 2} .1309799{col 41}{space 1}    0.32{col 50}{space 3}0.747{col 58}{space 4} -.214547{col 71}{space 3} .2988847
{txt}{space 10}income {c |}{col 18}{res}{space 2}-.0136937{col 30}{space 2} .0345902{col 41}{space 1}   -0.40{col 50}{space 3}0.692{col 58}{space 4}-.0814892{col 71}{space 3} .0541018
{txt}{space 12}nfc1 {c |}{col 18}{res}{space 2} .2061192{col 30}{space 2}  .193255{col 41}{space 1}    1.07{col 50}{space 3}0.286{col 58}{space 4}-.1726536{col 71}{space 3}  .584892
{txt}{space 7}evaluate1 {c |}{col 18}{res}{space 2}-.1224413{col 30}{space 2} .3194367{col 41}{space 1}   -0.38{col 50}{space 3}0.701{col 58}{space 4}-.7485257{col 71}{space 3} .5036431
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} 4.423511{col 30}{space 2} 1.226873{col 41}{space 1}    3.61{col 50}{space 3}0.000{col 58}{space 4} 2.018883{col 71}{space 3} 6.828138
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est5{txt} stored)

{com}.         margins, dydx(partisan) 
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}      1353
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(def_knowl19), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.partisan}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}partisan {c |}
In-Partisan  {c |}{col 14}{res}{space 2}-.1896393{col 26}{space 2} .0309979{col 37}{space 1}   -6.12{col 46}{space 3}0.000{col 54}{space 4}-.2503941{col 67}{space 3}-.1288846
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}.         margins partisan
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}      1353
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(def_knowl19), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27} Delta-method
{col 15}{c |}     Margin{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}partisan {c |}
Out-Partisan  {c |}{col 15}{res}{space 2} .9150278{col 27}{space 2} .0186605{col 38}{space 1}   49.04{col 47}{space 3}0.000{col 55}{space 4} .8784539{col 68}{space 3} .9516018
{txt}{space 1}In-Partisan  {c |}{col 15}{res}{space 2} .7253885{col 27}{space 2} .0228041{col 38}{space 1}   31.81{col 47}{space 3}0.000{col 55}{space 4} .6806932{col 68}{space 3} .7700838
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. eststo: logit def_knowl19 i.partisan##c.disagree_total numgiven1 network_interest interest_w9 i.gender i.race i.marital age educ income nfc1 evaluate1 [pweight= WGTPP19]

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-626.92863}  
Iteration 1:{space 3}log pseudolikelihood = {res:-504.21338}  
Iteration 2:{space 3}log pseudolikelihood = {res:-487.40265}  
Iteration 3:{space 3}log pseudolikelihood = {res:-486.96406}  
Iteration 4:{space 3}log pseudolikelihood = {res:-486.96287}  
Iteration 5:{space 3}log pseudolikelihood = {res:-486.96287}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}      1353
{txt}{col 51}Wald chi2({res}16{txt}){col 67}= {res}    121.93
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-486.96287{txt}{col 51}Pseudo R2{col 67}= {res}    0.2233

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}              def_knowl19{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}partisan {c |}
{space 13}In-Partisan  {c |}{col 27}{res}{space 2}   -1.263{col 39}{space 2} .3226996{col 50}{space 1}   -3.91{col 59}{space 3}0.000{col 67}{space 4}-1.895479{col 80}{space 3}-.6305199
{txt}{space 11}disagree_total {c |}{col 27}{res}{space 2}-.0918354{col 39}{space 2} .1414617{col 50}{space 1}   -0.65{col 59}{space 3}0.516{col 67}{space 4}-.3690953{col 80}{space 3} .1854245
{txt}{space 25} {c |}
partisan#c.disagree_total {c |}
{space 13}In-Partisan  {c |}{col 27}{res}{space 2} .2960713{col 39}{space 2} .1612069{col 50}{space 1}    1.84{col 59}{space 3}0.066{col 67}{space 4}-.0198883{col 80}{space 3}  .612031
{txt}{space 25} {c |}
{space 16}numgiven1 {c |}{col 27}{res}{space 2}-.7076202{col 39}{space 2}  .284167{col 50}{space 1}   -2.49{col 59}{space 3}0.013{col 67}{space 4}-1.264577{col 80}{space 3}-.1506632
{txt}{space 9}network_interest {c |}{col 27}{res}{space 2}-.2669301{col 39}{space 2} .1453364{col 50}{space 1}   -1.84{col 59}{space 3}0.066{col 67}{space 4}-.5517843{col 80}{space 3} .0179241
{txt}{space 14}interest_w9 {c |}{col 27}{res}{space 2} .2160632{col 39}{space 2} .1427883{col 50}{space 1}    1.51{col 59}{space 3}0.130{col 67}{space 4}-.0637967{col 80}{space 3} .4959231
{txt}{space 25} {c |}
{space 19}gender {c |}
{space 18}Female  {c |}{col 27}{res}{space 2}-.3537547{col 39}{space 2} .2463003{col 50}{space 1}   -1.44{col 59}{space 3}0.151{col 67}{space 4}-.8364945{col 80}{space 3} .1289852
{txt}{space 25} {c |}
{space 17}race_eth {c |}
{space 19}Black  {c |}{col 27}{res}{space 2}-1.366899{col 39}{space 2} .3287573{col 50}{space 1}   -4.16{col 59}{space 3}0.000{col 67}{space 4}-2.011252{col 80}{space 3}-.7225468
{txt}{space 16}Hispanic  {c |}{col 27}{res}{space 2}-.6113394{col 39}{space 2} .4475739{col 50}{space 1}   -1.37{col 59}{space 3}0.172{col 67}{space 4}-1.488568{col 80}{space 3} .2658893
{txt}{space 19}Other  {c |}{col 27}{res}{space 2}-.2263005{col 39}{space 2} .5981559{col 50}{space 1}   -0.38{col 59}{space 3}0.705{col 67}{space 4}-1.398665{col 80}{space 3} .9460636
{txt}{space 25} {c |}
{space 18}marital {c |}
{space 17}Married  {c |}{col 27}{res}{space 2}-.0974405{col 39}{space 2} .2537394{col 50}{space 1}   -0.38{col 59}{space 3}0.701{col 67}{space 4}-.5947606{col 80}{space 3} .3998796
{txt}{space 22}age {c |}{col 27}{res}{space 2} .0217794{col 39}{space 2}  .007316{col 50}{space 1}    2.98{col 59}{space 3}0.003{col 67}{space 4} .0074403{col 80}{space 3} .0361185
{txt}{space 21}educ {c |}{col 27}{res}{space 2} .0511377{col 39}{space 2} .1303007{col 50}{space 1}    0.39{col 59}{space 3}0.695{col 67}{space 4}-.2042469{col 80}{space 3} .3065223
{txt}{space 19}income {c |}{col 27}{res}{space 2}-.0157453{col 39}{space 2} .0346869{col 50}{space 1}   -0.45{col 59}{space 3}0.650{col 67}{space 4}-.0837304{col 80}{space 3} .0522398
{txt}{space 21}nfc1 {c |}{col 27}{res}{space 2} .2005319{col 39}{space 2} .1937411{col 50}{space 1}    1.04{col 59}{space 3}0.301{col 67}{space 4}-.1791936{col 80}{space 3} .5802574
{txt}{space 16}evaluate1 {c |}{col 27}{res}{space 2} -.070734{col 39}{space 2} .3135615{col 50}{space 1}   -0.23{col 59}{space 3}0.822{col 67}{space 4}-.6853033{col 80}{space 3} .5438352
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 4.115462{col 39}{space 2} 1.197519{col 50}{space 1}    3.44{col 59}{space 3}0.001{col 67}{space 4} 1.768369{col 80}{space 3} 6.462555
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est6{txt} stored)

{com}.         
.         margins, dydx(disagree_total) by(partisan)
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}      1353
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(def_knowl19), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:disagree_total}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:partisan}{p_end}
{p2colreset}{...}

{res}{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28} Delta-method
{col 16}{c |}      dy/dx{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}disagree_total {txt}{c |}
{space 6}partisan {c |}
{space 1}Out-Partisan  {c |}{col 16}{res}{space 2}-.0053254{col 28}{space 2} .0083914{col 39}{space 1}   -0.63{col 48}{space 3}0.526{col 56}{space 4}-.0217722{col 69}{space 3} .0111214
{txt}{space 2}In-Partisan  {c |}{col 16}{res}{space 2} .0359659{col 28}{space 2} .0127996{col 39}{space 1}    2.81{col 48}{space 3}0.005{col 56}{space 4} .0108792{col 69}{space 3} .0610527
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         margins partisan, at(disagree_total=(-3 3)) 
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}      1353
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(def_knowl19), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 9}-3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{res}{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29} Delta-method
{col 17}{c |}     Margin{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}_at#partisan {c |}
1#Out-Partisan  {c |}{col 17}{res}{space 2} .9317224{col 29}{space 2} .0231081{col 40}{space 1}   40.32{col 49}{space 3}0.000{col 57}{space 4} .8864315{col 70}{space 3} .9770134
{txt}{space 1}1#In-Partisan  {c |}{col 17}{res}{space 2}    .6592{col 29}{space 2} .0369428{col 40}{space 1}   17.84{col 49}{space 3}0.000{col 57}{space 4} .5867934{col 70}{space 3} .7316065
{txt}2#Out-Partisan  {c |}{col 17}{res}{space 2} .8906121{col 29}{space 2} .0547841{col 40}{space 1}   16.26{col 49}{space 3}0.000{col 57}{space 4} .7832373{col 70}{space 3} .9979869
{txt}{space 1}2#In-Partisan  {c |}{col 17}{res}{space 2} .8522648{col 29}{space 2} .0396781{col 40}{space 1}   21.48{col 49}{space 3}0.000{col 57}{space 4} .7744973{col 70}{space 3} .9300324
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         margins partisan, at(disagree_total=(-3(1)3)) 
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}      1353
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(def_knowl19), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 9}-3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 9}-2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 9}-1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{res}{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29} Delta-method
{col 17}{c |}     Margin{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}_at#partisan {c |}
1#Out-Partisan  {c |}{col 17}{res}{space 2} .9317224{col 29}{space 2} .0231081{col 40}{space 1}   40.32{col 49}{space 3}0.000{col 57}{space 4} .8864315{col 70}{space 3} .9770134
{txt}{space 1}1#In-Partisan  {c |}{col 17}{res}{space 2}    .6592{col 29}{space 2} .0369428{col 40}{space 1}   17.84{col 49}{space 3}0.000{col 57}{space 4} .5867934{col 70}{space 3} .7316065
{txt}2#Out-Partisan  {c |}{col 17}{res}{space 2} .9259851{col 29}{space 2} .0187808{col 40}{space 1}   49.30{col 49}{space 3}0.000{col 57}{space 4} .8891753{col 70}{space 3} .9627949
{txt}{space 1}2#In-Partisan  {c |}{col 17}{res}{space 2} .6982746{col 29}{space 2} .0267794{col 40}{space 1}   26.08{col 49}{space 3}0.000{col 57}{space 4} .6457878{col 70}{space 3} .7507613
{txt}3#Out-Partisan  {c |}{col 17}{res}{space 2} .9198297{col 29}{space 2} .0171842{col 40}{space 1}   53.53{col 49}{space 3}0.000{col 57}{space 4} .8861493{col 70}{space 3} .9535102
{txt}{space 1}3#In-Partisan  {c |}{col 17}{res}{space 2} .7348367{col 29}{space 2} .0230373{col 40}{space 1}   31.90{col 49}{space 3}0.000{col 57}{space 4} .6896844{col 70}{space 3}  .779989
{txt}4#Out-Partisan  {c |}{col 17}{res}{space 2} .9132353{col 29}{space 2} .0207868{col 40}{space 1}   43.93{col 49}{space 3}0.000{col 57}{space 4} .8724939{col 70}{space 3} .9539766
{txt}{space 1}4#In-Partisan  {c |}{col 17}{res}{space 2} .7686263{col 29}{space 2} .0256359{col 40}{space 1}   29.98{col 49}{space 3}0.000{col 57}{space 4} .7183809{col 70}{space 3} .8188717
{txt}5#Out-Partisan  {c |}{col 17}{res}{space 2}  .906181{col 29}{space 2} .0291865{col 40}{space 1}   31.05{col 49}{space 3}0.000{col 57}{space 4} .8489765{col 70}{space 3} .9633854
{txt}{space 1}5#In-Partisan  {c |}{col 17}{res}{space 2} .7994868{col 29}{space 2} .0308132{col 40}{space 1}   25.95{col 49}{space 3}0.000{col 57}{space 4}  .739094{col 70}{space 3} .8598797
{txt}6#Out-Partisan  {c |}{col 17}{res}{space 2} .8986465{col 29}{space 2} .0407933{col 40}{space 1}   22.03{col 49}{space 3}0.000{col 57}{space 4} .8186931{col 70}{space 3} .9785999
{txt}{space 1}6#In-Partisan  {c |}{col 17}{res}{space 2} .8273582{col 29}{space 2} .0358372{col 40}{space 1}   23.09{col 49}{space 3}0.000{col 57}{space 4} .7571186{col 70}{space 3} .8975978
{txt}7#Out-Partisan  {c |}{col 17}{res}{space 2} .8906121{col 29}{space 2} .0547841{col 40}{space 1}   16.26{col 49}{space 3}0.000{col 57}{space 4} .7832373{col 70}{space 3} .9979869
{txt}{space 1}7#In-Partisan  {c |}{col 17}{res}{space 2} .8522648{col 29}{space 2} .0396781{col 40}{space 1}   21.48{col 49}{space 3}0.000{col 57}{space 4} .7744973{col 70}{space 3} .9300324
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         marginsplot, scheme(s1mono) xline(-3, lpattern(dot)) xline(3, lpattern(dot)) title("ANES 2008-2009:" "July 2009" , size(medium)) ///
>                 ytitle("Pr(Correct)") xtitle("Disagreement") ylabel(0(0.2)1) ///
>                 text(0.1 2 "In: b=0.04, z=2.81" ///
>                 0.01 2 "Out: b=-0.01, z=-0.63", just(right) size(small))

{text}{p 2 6 2}Variables that uniquely identify margins: disagree_total partisan{p_end}
{res}{txt}
{com}.                                 
.         graph save "JULY KNOWL (updated)", replace
{res}{txt}(file JULY KNOWL (updated).gph saved)

{com}.         
.         
. *July, by May Knowledge*
. eststo: logit def_knowl19 i.partisan##c.disagree_total i.def_knowl17 numgiven1 network_interest interest_w9 i.gender i.race i.marital age educ income nfc1 evaluate1 [pweight= WGTPP19]

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-626.92863}  
Iteration 1:{space 3}log pseudolikelihood = {res:-472.19873}  
Iteration 2:{space 3}log pseudolikelihood = {res:-452.36804}  
Iteration 3:{space 3}log pseudolikelihood = {res:-451.78888}  
Iteration 4:{space 3}log pseudolikelihood = {res:-451.78779}  
Iteration 5:{space 3}log pseudolikelihood = {res:-451.78779}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}      1353
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}    117.88
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-451.78779{txt}{col 51}Pseudo R2{col 67}= {res}    0.2794

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}              def_knowl19{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}partisan {c |}
{space 13}In-Partisan  {c |}{col 27}{res}{space 2}-.9912088{col 39}{space 2} .3290932{col 50}{space 1}   -3.01{col 59}{space 3}0.003{col 67}{space 4} -1.63622{col 80}{space 3} -.346198
{txt}{space 11}disagree_total {c |}{col 27}{res}{space 2}-.0973854{col 39}{space 2}  .148278{col 50}{space 1}   -0.66{col 59}{space 3}0.511{col 67}{space 4}-.3880049{col 80}{space 3} .1932341
{txt}{space 25} {c |}
partisan#c.disagree_total {c |}
{space 13}In-Partisan  {c |}{col 27}{res}{space 2} .3453493{col 39}{space 2} .1684687{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0151568{col 80}{space 3} .6755418
{txt}{space 25} {c |}
{space 14}def_knowl17 {c |}
{space 17}Correct  {c |}{col 27}{res}{space 2}  1.59549{col 39}{space 2} .2749565{col 50}{space 1}    5.80{col 59}{space 3}0.000{col 67}{space 4} 1.056585{col 80}{space 3} 2.134395
{txt}{space 16}numgiven1 {c |}{col 27}{res}{space 2}-.8680491{col 39}{space 2} .3028415{col 50}{space 1}   -2.87{col 59}{space 3}0.004{col 67}{space 4}-1.461607{col 80}{space 3}-.2744907
{txt}{space 9}network_interest {c |}{col 27}{res}{space 2}-.2749278{col 39}{space 2} .1478568{col 50}{space 1}   -1.86{col 59}{space 3}0.063{col 67}{space 4}-.5647218{col 80}{space 3} .0148662
{txt}{space 14}interest_w9 {c |}{col 27}{res}{space 2} .2954912{col 39}{space 2} .1521736{col 50}{space 1}    1.94{col 59}{space 3}0.052{col 67}{space 4}-.0027635{col 80}{space 3}  .593746
{txt}{space 25} {c |}
{space 19}gender {c |}
{space 18}Female  {c |}{col 27}{res}{space 2}-.1944165{col 39}{space 2} .2435351{col 50}{space 1}   -0.80{col 59}{space 3}0.425{col 67}{space 4}-.6717366{col 80}{space 3} .2829035
{txt}{space 25} {c |}
{space 17}race_eth {c |}
{space 19}Black  {c |}{col 27}{res}{space 2}-1.144281{col 39}{space 2} .3663999{col 50}{space 1}   -3.12{col 59}{space 3}0.002{col 67}{space 4}-1.862412{col 80}{space 3}-.4261506
{txt}{space 16}Hispanic  {c |}{col 27}{res}{space 2} -.423571{col 39}{space 2} .4867756{col 50}{space 1}   -0.87{col 59}{space 3}0.384{col 67}{space 4}-1.377634{col 80}{space 3} .5304917
{txt}{space 19}Other  {c |}{col 27}{res}{space 2} .0068122{col 39}{space 2} .6805922{col 50}{space 1}    0.01{col 59}{space 3}0.992{col 67}{space 4}-1.327124{col 80}{space 3} 1.340748
{txt}{space 25} {c |}
{space 18}marital {c |}
{space 17}Married  {c |}{col 27}{res}{space 2} -.071037{col 39}{space 2} .2527899{col 50}{space 1}   -0.28{col 59}{space 3}0.779{col 67}{space 4}-.5664961{col 80}{space 3} .4244221
{txt}{space 22}age {c |}{col 27}{res}{space 2} .0194897{col 39}{space 2} .0072759{col 50}{space 1}    2.68{col 59}{space 3}0.007{col 67}{space 4} .0052292{col 80}{space 3} .0337503
{txt}{space 21}educ {c |}{col 27}{res}{space 2} .0684953{col 39}{space 2} .1266524{col 50}{space 1}    0.54{col 59}{space 3}0.589{col 67}{space 4}-.1797388{col 80}{space 3} .3167294
{txt}{space 19}income {c |}{col 27}{res}{space 2}-.0122219{col 39}{space 2} .0393328{col 50}{space 1}   -0.31{col 59}{space 3}0.756{col 67}{space 4}-.0893127{col 80}{space 3}  .064869
{txt}{space 21}nfc1 {c |}{col 27}{res}{space 2} .1956173{col 39}{space 2} .1984164{col 50}{space 1}    0.99{col 59}{space 3}0.324{col 67}{space 4}-.1932716{col 80}{space 3} .5845062
{txt}{space 16}evaluate1 {c |}{col 27}{res}{space 2}-.0869023{col 39}{space 2}  .317364{col 50}{space 1}   -0.27{col 59}{space 3}0.784{col 67}{space 4}-.7089242{col 80}{space 3} .5351197
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 2.863097{col 39}{space 2} 1.207363{col 50}{space 1}    2.37{col 59}{space 3}0.018{col 67}{space 4} .4967097{col 80}{space 3} 5.229485
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est7{txt} stored)

{com}.         margins, dydx(disagree_total) by(partisan) at(def_knowl17=(0))
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}      1353
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(def_knowl19), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:disagree_total}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:partisan}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt}0.partisan}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:def_knowl17}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.partisan}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:def_knowl17}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28} Delta-method
{col 16}{c |}      dy/dx{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}disagree_total {txt}{c |}
{space 6}partisan {c |}
{space 1}Out-Partisan  {c |}{col 16}{res}{space 2} -.014615{col 28}{space 2} .0221942{col 39}{space 1}   -0.66{col 48}{space 3}0.510{col 56}{space 4}-.0581148{col 69}{space 3} .0288849
{txt}{space 2}In-Partisan  {c |}{col 16}{res}{space 2} .0503321{col 28}{space 2} .0147035{col 39}{space 1}    3.42{col 48}{space 3}0.001{col 56}{space 4} .0215137{col 69}{space 3} .0791505
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         margins partisan, at(disagree_total=(-3(1)3) def_knowl17=(0))
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}      1353
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(def_knowl19), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 9}-3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:def_knowl17}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 9}-2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:def_knowl17}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 9}-1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:def_knowl17}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:def_knowl17}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:def_knowl17}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:def_knowl17}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:def_knowl17}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29} Delta-method
{col 17}{c |}     Margin{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}_at#partisan {c |}
1#Out-Partisan  {c |}{col 17}{res}{space 2} .8052339{col 29}{space 2} .0659775{col 40}{space 1}   12.20{col 49}{space 3}0.000{col 57}{space 4} .6759203{col 70}{space 3} .9345475
{txt}{space 1}1#In-Partisan  {c |}{col 17}{res}{space 2} .4023838{col 29}{space 2} .0601889{col 40}{space 1}    6.69{col 49}{space 3}0.000{col 57}{space 4} .2844157{col 70}{space 3} .5203518
{txt}2#Out-Partisan  {c |}{col 17}{res}{space 2} .7908843{col 29}{space 2} .0561732{col 40}{space 1}   14.08{col 49}{space 3}0.000{col 57}{space 4} .6807868{col 70}{space 3} .9009819
{txt}{space 1}2#In-Partisan  {c |}{col 17}{res}{space 2} .4563158{col 29}{space 2}  .054182{col 40}{space 1}    8.42{col 49}{space 3}0.000{col 57}{space 4}  .350121{col 70}{space 3} .5625107
{txt}3#Out-Partisan  {c |}{col 17}{res}{space 2} .7758242{col 29}{space 2} .0523518{col 40}{space 1}   14.82{col 49}{space 3}0.000{col 57}{space 4} .6732166{col 70}{space 3} .8784318
{txt}{space 1}3#In-Partisan  {c |}{col 17}{res}{space 2} .5112161{col 29}{space 2} .0517793{col 40}{space 1}    9.87{col 49}{space 3}0.000{col 57}{space 4} .4097305{col 70}{space 3} .6127018
{txt}4#Out-Partisan  {c |}{col 17}{res}{space 2} .7600612{col 29}{space 2} .0582311{col 40}{space 1}   13.05{col 49}{space 3}0.000{col 57}{space 4} .6459304{col 70}{space 3}  .874192
{txt}{space 1}4#In-Partisan  {c |}{col 17}{res}{space 2} .5658624{col 29}{space 2} .0539885{col 40}{space 1}   10.48{col 49}{space 3}0.000{col 57}{space 4} .4600469{col 70}{space 3}  .671678
{txt}5#Out-Partisan  {c |}{col 17}{res}{space 2} .7436087{col 29}{space 2} .0735239{col 40}{space 1}   10.11{col 49}{space 3}0.000{col 57}{space 4} .5995045{col 70}{space 3} .8877129
{txt}{space 1}5#In-Partisan  {c |}{col 17}{res}{space 2} .6190579{col 29}{space 2} .0596085{col 40}{space 1}   10.39{col 49}{space 3}0.000{col 57}{space 4} .5022275{col 70}{space 3} .7358884
{txt}6#Out-Partisan  {c |}{col 17}{res}{space 2} .7264858{col 29}{space 2} .0953528{col 40}{space 1}    7.62{col 49}{space 3}0.000{col 57}{space 4} .5395977{col 70}{space 3} .9133738
{txt}{space 1}6#In-Partisan  {c |}{col 17}{res}{space 2} .6697245{col 29}{space 2} .0663769{col 40}{space 1}   10.09{col 49}{space 3}0.000{col 57}{space 4} .5396283{col 70}{space 3} .7998208
{txt}7#Out-Partisan  {c |}{col 17}{res}{space 2} .7087175{col 29}{space 2} .1214503{col 40}{space 1}    5.84{col 49}{space 3}0.000{col 57}{space 4} .4706794{col 70}{space 3} .9467557
{txt}{space 1}7#In-Partisan  {c |}{col 17}{res}{space 2} .7169769{col 29}{space 2} .0724004{col 40}{space 1}    9.90{col 49}{space 3}0.000{col 57}{space 4} .5750746{col 70}{space 3} .8588791
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
. 
.         marginsplot, scheme(s1mono) xline(-3, lpattern(dot)) xline(3, lpattern(dot)) title("July 2009" "Incorrect in May" , size(medium)) ///
>                 ytitle("Pr(Correct)") xtitle("Disagreement") ylabel(0(0.2)1) ///
>                 text(0.1 2 "In: b=0.05, z=3.42" ///
>                 0.01 2 "Out: b=-0.01, z=-0.66", just(right) size(small))

{text}{p 2 6 2}Variables that uniquely identify margins: disagree_total partisan{p_end}
{res}{txt}
{com}.                 
.         graph save "July Knowl - Incorrect in May (update)", replace
{res}{txt}(file July Knowl - Incorrect in May (update).gph saved)

{com}.         
.         margins, dydx(disagree_total) by(partisan) at(def_knowl17=(1))
{res}
{txt}Average marginal effects{col 51}Number of obs{col 67}= {res}      1353
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(def_knowl19), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:disagree_total}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:partisan}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt}0.partisan}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:def_knowl17}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt}1.partisan}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{space 4}{txt:def_knowl17}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28} Delta-method
{col 16}{c |}      dy/dx{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}disagree_total {txt}{c |}
{space 6}partisan {c |}
{space 1}Out-Partisan  {c |}{col 16}{res}{space 2}-.0046253{col 28}{space 2} .0072567{col 39}{space 1}   -0.64{col 48}{space 3}0.524{col 56}{space 4}-.0188482{col 69}{space 3} .0095977
{txt}{space 2}In-Partisan  {c |}{col 16}{res}{space 2} .0370952{col 28}{space 2} .0118982{col 39}{space 1}    3.12{col 48}{space 3}0.002{col 56}{space 4} .0137751{col 69}{space 3} .0604154
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
.         margins partisan, at(disagree_total=(-3(1)3) def_knowl17=(1))
{res}
{txt}Predictive margins{col 51}Number of obs{col 67}= {res}      1353
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(def_knowl19), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 9}-3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:def_knowl17}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 9}-2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:def_knowl17}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 9}-1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:def_knowl17}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:def_knowl17}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:def_knowl17}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:def_knowl17}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:disagree_t~l}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:def_knowl17}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29} Delta-method
{col 17}{c |}     Margin{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}_at#partisan {c |}
1#Out-Partisan  {c |}{col 17}{res}{space 2} .9490113{col 29}{space 2} .0185908{col 40}{space 1}   51.05{col 49}{space 3}0.000{col 57}{space 4} .9125741{col 70}{space 3} .9854486
{txt}{space 1}1#In-Partisan  {c |}{col 17}{res}{space 2} .7362653{col 29}{space 2} .0358786{col 40}{space 1}   20.52{col 49}{space 3}0.000{col 57}{space 4} .6659445{col 70}{space 3} .8065861
{txt}2#Out-Partisan  {c |}{col 17}{res}{space 2} .9442611{col 29}{space 2} .0152391{col 40}{space 1}   61.96{col 49}{space 3}0.000{col 57}{space 4}  .914393{col 70}{space 3} .9741292
{txt}{space 1}2#In-Partisan  {c |}{col 17}{res}{space 2} .7775556{col 29}{space 2} .0257365{col 40}{space 1}   30.21{col 49}{space 3}0.000{col 57}{space 4}  .727113{col 70}{space 3} .8279982
{txt}3#Out-Partisan  {c |}{col 17}{res}{space 2} .9391111{col 29}{space 2} .0141514{col 40}{space 1}   66.36{col 49}{space 3}0.000{col 57}{space 4} .9113749{col 70}{space 3} .9668473
{txt}{space 1}3#In-Partisan  {c |}{col 17}{res}{space 2} .8142982{col 29}{space 2} .0216235{col 40}{space 1}   37.66{col 49}{space 3}0.000{col 57}{space 4}  .771917{col 70}{space 3} .8566795
{txt}4#Out-Partisan  {c |}{col 17}{res}{space 2} .9335349{col 29}{space 2} .0174594{col 40}{space 1}   53.47{col 49}{space 3}0.000{col 57}{space 4} .8993151{col 70}{space 3} .9677548
{txt}{space 1}4#In-Partisan  {c |}{col 17}{res}{space 2} .8464381{col 29}{space 2} .0223595{col 40}{space 1}   37.86{col 49}{space 3}0.000{col 57}{space 4} .8026143{col 70}{space 3} .8902619
{txt}5#Out-Partisan  {c |}{col 17}{res}{space 2}  .927506{col 29}{space 2} .0248786{col 40}{space 1}   37.28{col 49}{space 3}0.000{col 57}{space 4} .8787448{col 70}{space 3} .9762672
{txt}{space 1}5#In-Partisan  {c |}{col 17}{res}{space 2} .8741114{col 29}{space 2} .0246484{col 40}{space 1}   35.46{col 49}{space 3}0.000{col 57}{space 4} .8258015{col 70}{space 3} .9224213
{txt}6#Out-Partisan  {c |}{col 17}{res}{space 2} .9209971{col 29}{space 2} .0351703{col 40}{space 1}   26.19{col 49}{space 3}0.000{col 57}{space 4} .8520645{col 70}{space 3} .9899296
{txt}{space 1}6#In-Partisan  {c |}{col 17}{res}{space 2} .8975986{col 29}{space 2} .0264478{col 40}{space 1}   33.94{col 49}{space 3}0.000{col 57}{space 4} .8457618{col 70}{space 3} .9494354
{txt}7#Out-Partisan  {c |}{col 17}{res}{space 2} .9139812{col 29}{space 2} .0477299{col 40}{space 1}   19.15{col 49}{space 3}0.000{col 57}{space 4} .8204323{col 70}{space 3}  1.00753
{txt}{space 1}7#In-Partisan  {c |}{col 17}{res}{space 2} .9172762{col 29}{space 2} .0271471{col 40}{space 1}   33.79{col 49}{space 3}0.000{col 57}{space 4} .8640688{col 70}{space 3} .9704837
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
.         marginsplot, scheme(s1mono) xline(-3, lpattern(dot)) xline(3, lpattern(dot)) title("July 2009" "Correct in May" , size(medium)) ///
>                 ytitle("Pr(Correct)") xtitle("Disagreement") ylabel(0(0.2)1) ///
>                 text(0.1 2 "In: b=0.04, z=3.12" ///
>                 0.01 2 "Out: b=-0.005, z=-0.64", just(right) size(small))

{text}{p 2 6 2}Variables that uniquely identify margins: disagree_total partisan{p_end}
{res}{txt}
{com}.                 
.         graph save "July Knowl - Correct in May" , replace
{res}{txt}(file July Knowl - Correct in May.gph saved)

{com}.         
.                 
. 
. /*Combined Table*/
. esttab using TABLE0A6_KNOWLEDGE.rtf, onecell replace label se star(+ 0.10 * 0.05 ** 0.01) nobaselevels ///
>                         mtitles("2000" "2000" "May 2009" "May 2009" "July 2009" "July 2009"  "July 2009 (W17 Controlled)") ///
>                         addnotes(Analyses are weighted: V000002a, WGTPP17, WGTPP19) pr2 aic bic ///
>                         title({c -(}\b Table OA6.{c )-} "Network Disagreement and Deficit Knowledge")
{res}{txt}(output written to {browse  `"TABLE0A6_KNOWLEDGE.rtf"'})

{com}.         
.         
. /*Figure*/
. 
. grc1leg "2000 - Knowledge" "MAY 2008 - Knowledge (updated)" "JULY Knowl (updated)" "July Knowl - Incorrect in May (update)"  , scheme(s1mono)
{res}{txt}
{com}. 
. 
.         /*note: the text boxes were moved out of whack when combining the graphs; 
>         they were manually moved via the graph editor and then the graph was saved*/
. 
. graph save "Figure 1", replace
{res}{txt}(file Figure 1.gph saved)

{com}. graph export "Figure 1.png", replace
{txt}(file Figure 1.png written in PNG format)

{com}. graph export "Figure 1.tif", replace
{txt}(file Figure 1.tif written in TIFF format)

{com}. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Joshua\Dropbox\Work\Networks and Economic Perceptions\Data and Do Files\Figure 1 Output.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 6 Jun 2018, 10:56:12
{txt}{.-}
{smcl}
{txt}{sf}{ul off}